Python 3.11.0 | packaged by conda-forge | (main, Jan 16 2023, 14:12:30) [MSC v.1916 64 bit (AMD64)]
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IPython 8.10.0 -- An enhanced Interactive Python. Type '?' for help.

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			dh1.setOffset()
			dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega10')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)

df_grouped = df.groupby(by='cat_AOM_ampl')
min_ratios = df_grouped['ratio'].min()

groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]

100%|██████████| 247/247 [00:03<00:00, 79.64it/s]

max_freqs = [384182.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq)  in enumerate(zipped_data[:]):
    data = df.dropna()
    freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
    ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"CAT Amplituide = { df.iloc[10]['cat_AOM_ampl'] :.2f}", linewidth=2.5)

plt.legend()

plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))

MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testCATrunMega1')
df = get_data_frame(MEASURE_FOLDER)
df.dropna(inplace=True)

df_grouped = df.groupby(by='cat_AOM_ampl')
min_ratios = df_grouped['ratio'].min()

groups = dict(list(df_grouped))
dfs = [df for df in groups.values()]

100%|██████████| 288/288 [10:29<00:00,  2.19s/it]

max_freqs = [384274.5]*15
#max_freqs=[384178.599, 384179.091, 384184.733]
zipped_data = list(zip(dfs, max_freqs))
fig, ax = plt.subplots()
for i, (df, max_freq)  in enumerate(zipped_data[:]):
    data = df.dropna()
    freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
    ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"CAT Amplituide = { df.iloc[10]['cat_AOM_ampl'] :.2f}", linewidth=2.5)

plt.legend()

plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))

Pmeter = [2.25
,8.6
,18.65
,31.7
,45.8
,60.6
,71.4
,79.7
,86.1
,91.4
,95.7
,99.0
,101.7
,104.3
,106.5
,108.4
,110.2
,112.2
,114.0
,115.3]

pds = [
(-0.0145, 0.022),
(0.0575, 0.026),
(0.1775, 0.034),
(0.334,.044),
(0.512, 0.055),
(0.687, 0.067),
(0.838, 0.077),
(0.946, 0.084),
(1.035, 0.09),
(1.104, 0.094),
(1.156, 0.098),
(1.206, 0.101),
(1.239, 0.103),
(1.271, 0.105),
(1.303, 0.107),
(1.331, 0.109),
(1.357, 0.112),
(1.385, 0.113),
(1.405, 0.115),
(1.43, 0.117)]

x = np.linspace(0.0, 1.0, 21)[:-1]
fig, ax = plt.subplots()
ax.plot(x, pdCAT, 'bo-', label='PD CAT')
tax = ax.twinx()
tax.plot(x, Pmeter, 'r^-', label='Power (mW)')

ax.grid()
ax.legend(loc='upper left')

tax.spines['left'].set_color('blue')
ax.yaxis.label.set_color('blue')
ax.tick_params(axis='y', colors='blue')


tax.legend(loc='upper right')

tax.spines['right'].set_color('red')
tax.yaxis.label.set_color('red')
tax.tick_params(axis='y', colors='red')

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov = curve_fit(N, data_t, data_N, [0.1, 0.15, 0.2])


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov = curve_fit(N2, data_t, data_N, [0.1, 0.15, 0, 0.2])

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)
# plt.plot(data_t, data_N, '.',
#          t, N2(t, *popt), '-')
# plt.show()


fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
R = 0.050 +- 1.219e-09 
 Gamma = 0.163 +- 1.356e-08 
  N0 = 0.191 +- 2.679e-09
R = -0.032 +- 1.974e-07 
 Gamma = -0.431 +- 1.050e-05
 beta = 1.067  +- 3.430e-05 
 N0 = 0.199 +- 3.135e-09

[<matplotlib.lines.Line2D at 0x1aab1a4ff50>]

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2])


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2])

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
R = 0.050 +- 1.219e-09 
 Gamma = 0.163 +- 1.356e-08 
  N0 = 0.191 +- 2.679e-09

c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\integrate\_odepack_py.py:248: ODEintWarning: Excess work done on this call (perhaps wrong Dfun type). Run with full_output = 1 to get quantitative information.
  warnings.warn(warning_msg, ODEintWarning)

R = -0.032 +- 2.131e-07 
 Gamma = -0.431 +- 1.134e-05
 beta = 1.067  +- 3.703e-05 
 N0 = 0.199 +- 3.273e-09

[<matplotlib.lines.Line2D at 0x1aab28b9110>]

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1)


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1)

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[30], line 28
     25 data_t = dh1.loadingTime - dh1.loadingTime.min()
     26 data_N = dh1.loadingVoltage
---> 28 popt, cov = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1)
     31 print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
     33 fitted_values = N(data_t, *popt)

ValueError: too many values to unpack (expected 2)

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1)


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1)

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
R = 0.050 +- 1.219e-09 
 Gamma = 0.163 +- 1.356e-08 
  N0 = 0.191 +- 2.679e-09

c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\integrate\_odepack_py.py:248: ODEintWarning: Excess work done on this call (perhaps wrong Dfun type). Run with full_output = 1 to get quantitative information.
  warnings.warn(warning_msg, ODEintWarning)

R = -0.032 +- 2.131e-07 
 Gamma = -0.431 +- 1.134e-05
 beta = 1.067  +- 3.703e-05 
 N0 = 0.199 +- 3.273e-09

[<matplotlib.lines.Line2D at 0x1aab8cb3c10>]

print(infodict, mesg, ier)

{'fvec': array([ 0.00070821,  0.00193474,  0.00102504, ..., -0.02544394,
       -0.02452841, -0.02452841]), 'nfev': 52, 'fjac': array([[-1.58462395e+03,  3.15533535e-07,  6.31067069e-07, ...,
         2.82762792e-03,  2.82762792e-03,  2.82762784e-03],
       [-4.23825001e+01, -1.03452419e+02,  9.66607844e-03, ...,
        -1.18571468e-03, -1.18571486e-03, -1.18571483e-03],
       [ 4.59756793e+02, -3.02799153e+01,  2.24243171e+01, ...,
         1.67003347e-03,  1.67003322e-03,  1.67003478e-03],
       [ 1.34613414e+02, -1.60459935e+01,  1.24005906e+01, ...,
        -1.38909042e-03, -1.38909072e-03, -1.38906873e-03]]), 'ipvt': array([1, 4, 2, 3], dtype=int32), 'qtf': array([-1.63301764e-06, -6.49932071e-07,  1.21157320e-05, -2.05726773e-05])} Both actual and predicted relative reductions in the sum of squares
  are at most 0.000000 1

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf))


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf))

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
R = 0.050 +- 1.219e-09 
 Gamma = 0.163 +- 1.356e-08 
  N0 = 0.191 +- 2.679e-09
R = 0.028 +- 2.047e-07 
 Gamma = 0.000 +- 1.073e-05
 beta = 0.293  +- 3.464e-05 
 N0 = 0.193 +- 4.400e-09

[<matplotlib.lines.Line2D at 0x1aab2874f90>]

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std)


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std)

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[34], line 28
     25 data_t = dh1.loadingTime - dh1.loadingTime.min()
     26 data_N = dh1.loadingVoltage
---> 28 popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std)
     31 print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")
     33 fitted_values = N(data_t, *popt)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\scipy\optimize\_minpack_py.py:838, in curve_fit(f, xdata, ydata, p0, sigma, absolute_sigma, check_finite, bounds, method, jac, full_output, **kwargs)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=835'>836</a>             raise ValueError("`sigma` must be positive definite.") from e
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=836'>837</a>     else:
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=837'>838</a>         raise ValueError("`sigma` has incorrect shape.")
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=838'>839</a> else:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/scipy/optimize/_minpack_py.py?line=839'>840</a>     transform = None

ValueError: `sigma` has incorrect shape.

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=sigma=dh1.std*np.ones(len(data_N)))


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

  Cell In[35], line 28
    popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=sigma=dh1.std*np.ones(len(data_N)))
                                                                                                                                               ^
SyntaxError: invalid syntax

run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPARunMega8\16-22-02"
filename = os.path.join(run_path, 'data.csv')
bkfilename = os.path.join(run_path, 'data_oldPD.csv')
settingsname = os.path.join(run_path, 'Settings.txt')

dh1 = MTdataHost(SAMPLE_RATE)
dh1.loadCATdata(fileName=filename, settingsName=settingsname)
dh1.setAllCAT(0.002)

from scipy.integrate import odeint
from scipy.optimize import curve_fit

def Nprime(N, t, R, Gamma):
    return R - Gamma*N 
def Nprime2(N, t, R, Gamma, beta):
    return R - Gamma*N - beta*N**2

def N(t, R, Gamma, N0):
    Nsol = odeint(Nprime, N0, t, args=(R, Gamma))
    return Nsol.ravel()
def N2(t, R, Gamma, beta, N0):
    Nsol = odeint(Nprime2, N0, t, args=(R, Gamma, beta))
    return Nsol.ravel()

data_t = dh1.loadingTime - dh1.loadingTime.min()
data_N = dh1.loadingVoltage

popt, cov, infodict, mesg, ier = curve_fit(N, data_t, data_N, [dh1.initMOTR, dh1.motR, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))


print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e} \n  N0 = {popt[2]:.3f} +- {cov[2][2]:.3e}")

fitted_values = N(data_t, *popt)
residuals = data_N - fitted_values
t = np.linspace(0, data_t[-1], 1000)

# plt.plot(data_t, data_N, '.',
#          t, N(t, *popt), '-')
# plt.show()

fig1 = plt.figure(2)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)



popt, cov, infodict, mesg, ier = curve_fit(N2, data_t, data_N, [dh1.initMOTR, dh1.motR, 0, 0.2], full_output=1, bounds=(0, np.inf), sigma=dh1.std*np.ones(len(data_N)))

print(f"R = {popt[0]:.3f} +- {cov[0][0]:.3e} \n Gamma = {popt[1]:.3f} +- {cov[1][1]:.3e}\n beta = {popt[2]:.3f}  +- {cov[2][2]:.3e} \n N0 = {popt[3]:.3} +- {cov[3][3]:.3e}")

fitted_values = N2(data_t, *popt)
residuals = data_N - fitted_values

t = np.linspace(0, data_t[-1], 1000)

fig1 = plt.figure(1)
frame1 = fig1.add_axes((.1,.3,.8,.6))

plt.plot(data_t,data_N,'.b', label=f'SS Residuals = {np.sum(residuals**2):.3f}') 
plt.plot(t,N2(t,*popt),'-r') 
plt.legend()

frame1.set_xticklabels([]) 
plt.grid()

# Residual plot
frame2 = fig1.add_axes((.1,.1,.8,.2))        
plt.plot(data_t,residuals,'or', ms=1)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
R = 0.050 +- 1.219e-09 
 Gamma = 0.163 +- 1.356e-08 
  N0 = 0.191 +- 2.679e-09
R = 0.028 +- 2.047e-07 
 Gamma = 0.000 +- 1.073e-05
 beta = 0.293  +- 3.464e-05 
 N0 = 0.193 +- 4.400e-09

[<matplotlib.lines.Line2D at 0x1aabca61c10>]

dh1.initMOTR

0.013134674829377673

dh1.initMOTR, dh1.motR

(0.013134674829377673, 0.1632647677457613)

get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68161

Fitting ERROR at  17-56-41 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68161

Fitting ERROR at  17-58-10 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169

Fitting ERROR at  17-59-38 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-01-06 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68163

Fitting ERROR at  18-02-39 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-04-24 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-06-11 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112173 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-07-59 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112098 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-09-42 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112136 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-11-29 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68173

Fitting ERROR at  18-13-17 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68177

Fitting ERROR at  18-15-02 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112192 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-16-49 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68167

Fitting ERROR at  18-18-33 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112177 is out of bounds for axis 0 with size 68173

Fitting ERROR at  18-20-18 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112103 is out of bounds for axis 0 with size 68177

Fitting ERROR at  18-22-04 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112145 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-23-50 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-25-41 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112190 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-27-30 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112110 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-29-14 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-30-58 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-32-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112198 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-34-17 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-35-45 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-37-28 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-39-14 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112207 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-41-02 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-42-50 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-44-38 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-46-25 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-48-12 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112147 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-50-01 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-51-46 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-53-31 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-55-20 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68185

Fitting ERROR at  18-57-09 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112092 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-58-58 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112143 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-00-50 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-02-37 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112099 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-04-25 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-06-09 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-07-58 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-09-45 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-11-33 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112114 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-13-21 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-15-07 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-16-53 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-18-39 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112146 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-20-25 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-22-11 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-23-58 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112115 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-25-42 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68185

Fitting ERROR at  19-27-24 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-29-10 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112128 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-30-56 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-32-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-34-31 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68181

Fitting ERROR at  19-36-19 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112163 is out of bounds for axis 0 with size 68179

Fitting ERROR at  19-38-05 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-39-54 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-41-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68183

Fitting ERROR at  19-43-34 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-45-18 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112125 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-47-08 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-48-55 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-50-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112184 is out of bounds for axis 0 with size 68179

Fitting ERROR at  19-52-32 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68165

Fitting ERROR at  19-54-20 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68181

Fitting ERROR at  19-56-07 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-57-56 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112151 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-59-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112212 is out of bounds for axis 0 with size 68179

Fitting ERROR at  20-01-27 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68177

Fitting ERROR at  20-03-16 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112178 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-05-01 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112162 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-06-28 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-07-55 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-09-22 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-10-49 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-12-17 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-13-44 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68159

Fitting ERROR at  20-15-12 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-16-39 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112139 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-18-07 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112090 is out of bounds for axis 0 with size 68173

Fitting ERROR at  20-19-35 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-21-02 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112152 is out of bounds for axis 0 with size 68227

Fitting ERROR at  20-22-32 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112153 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-24-04 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-25-34 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-27-05 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-28-39 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68193

Fitting ERROR at  20-30-22 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112213 is out of bounds for axis 0 with size 68183

Fitting ERROR at  20-32-12 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112176 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-33-57 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68173

Fitting ERROR at  20-35-41 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68179

Fitting ERROR at  20-37-26 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112117 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-39-08 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112191 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-40-50 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-42-28 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-44-02 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-45-40 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-47-19 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-49-00 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-50-43 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-52-23 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112148 is out of bounds for axis 0 with size 68177

Fitting ERROR at  20-54-03 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112096 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-55-47 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112101 is out of bounds for axis 0 with size 68175

Fitting ERROR at  20-57-31 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112170 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-59-12 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68163

Fitting ERROR at  21-00-42 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112124 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-02-12 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112137 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-03-41 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68157

Fitting ERROR at  21-05-09 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112097 is out of bounds for axis 0 with size 68159

Fitting ERROR at  21-06-37 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68163

Fitting ERROR at  21-08-04 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-09-50 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68167

Fitting ERROR at  21-11-36 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-13-13 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-14-41 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-16-08 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68165

Fitting ERROR at  21-17-36 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-19-03 

Traceback (most recent call last):
  File "<ipython-input-1-b42cbb4ac10c>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-1-b42cbb4ac10c>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ^^^^^^^^^^^
UnboundLocalError: cannot access local variable 'fit_results' where it is not associated with a value

Error cannot access local variable 'fit_results' where it is not associated with a value at ('21-19-03', '21-19-47')

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			dh1.setOffset()
			dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Failed fit at : 17-56-41
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Failed fit at : 17-58-10
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Failed fit at : 17-59-38
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Failed fit at : 18-01-06
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Failed fit at : 18-02-39
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Failed fit at : 18-04-24
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Failed fit at : 18-06-11
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Failed fit at : 18-07-59
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Failed fit at : 18-09-42
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Failed fit at : 18-11-29
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Failed fit at : 18-13-17
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Failed fit at : 18-15-02
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Failed fit at : 18-16-49
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Failed fit at : 18-18-33
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Failed fit at : 18-20-18
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Failed fit at : 18-22-04
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Failed fit at : 18-23-50
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Failed fit at : 18-25-41
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Failed fit at : 18-27-30
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Failed fit at : 18-29-14
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Failed fit at : 18-30-58
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Failed fit at : 18-32-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Failed fit at : 18-34-17
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Failed fit at : 18-35-45
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Failed fit at : 18-37-28
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Failed fit at : 18-39-14
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Failed fit at : 18-41-02
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Failed fit at : 18-42-50
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Failed fit at : 18-44-38
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Failed fit at : 18-46-25
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Failed fit at : 18-48-12
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Failed fit at : 18-50-01
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Failed fit at : 18-51-46
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Failed fit at : 18-53-31
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Failed fit at : 18-55-20
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Failed fit at : 18-57-09
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Failed fit at : 18-58-58
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Failed fit at : 19-00-50
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Failed fit at : 19-02-37
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Failed fit at : 19-04-25
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Failed fit at : 19-06-09
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Failed fit at : 19-07-58
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Failed fit at : 19-09-45
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Failed fit at : 19-11-33
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Failed fit at : 19-13-21
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Failed fit at : 19-15-07
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Failed fit at : 19-16-53
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Failed fit at : 19-18-39
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Failed fit at : 19-20-25
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Failed fit at : 19-22-11
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Failed fit at : 19-23-58
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Failed fit at : 19-25-42
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Failed fit at : 19-27-24
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Failed fit at : 19-29-10
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Failed fit at : 19-30-56
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Failed fit at : 19-32-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Failed fit at : 19-34-31
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Failed fit at : 19-36-19
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Failed fit at : 19-38-05
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Failed fit at : 19-39-54
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Failed fit at : 19-41-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Failed fit at : 19-43-34
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Failed fit at : 19-45-18
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Failed fit at : 19-47-08
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Failed fit at : 19-48-55
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Failed fit at : 19-50-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Failed fit at : 19-52-32
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Failed fit at : 19-54-20
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Failed fit at : 19-56-07
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Failed fit at : 19-57-56
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Failed fit at : 19-59-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Failed fit at : 20-01-27
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Failed fit at : 20-03-16
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Failed fit at : 20-05-01
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Failed fit at : 20-06-28
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Failed fit at : 20-07-55
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Failed fit at : 20-09-22
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Failed fit at : 20-10-49
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Failed fit at : 20-12-17
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Failed fit at : 20-13-44
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Failed fit at : 20-15-12
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Failed fit at : 20-16-39
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Failed fit at : 20-18-07
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Failed fit at : 20-19-35
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Failed fit at : 20-21-02
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Failed fit at : 20-22-32
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Failed fit at : 20-24-04
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Failed fit at : 20-25-34
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Failed fit at : 20-27-05
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Failed fit at : 20-28-39
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Failed fit at : 20-30-22
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Failed fit at : 20-32-12
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Failed fit at : 20-33-57
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Failed fit at : 20-35-41
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Failed fit at : 20-37-26
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Failed fit at : 20-39-08
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Failed fit at : 20-40-50
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Failed fit at : 20-42-28
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Failed fit at : 20-44-02
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Failed fit at : 20-45-40
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Failed fit at : 20-47-19
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Failed fit at : 20-49-00
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Failed fit at : 20-50-43
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Failed fit at : 20-52-23
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Failed fit at : 20-54-03
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Failed fit at : 20-55-47
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Failed fit at : 20-57-31
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Failed fit at : 20-59-12
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Failed fit at : 21-00-42
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Failed fit at : 21-02-12
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Failed fit at : 21-03-41
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Failed fit at : 21-05-09
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Failed fit at : 21-06-37
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Failed fit at : 21-08-04
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Failed fit at : 21-09-50
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Failed fit at : 21-11-36
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Failed fit at : 21-13-13
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Failed fit at : 21-14-41
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Failed fit at : 21-16-08
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Failed fit at : 21-17-36
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Failed fit at : 21-19-03
Traceback (most recent call last):
  File "<ipython-input-40-bc9c002d9b2f>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-40-bc9c002d9b2f>", line 575, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-19-03', '21-19-47')

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			dh1.setOffset()
			dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Failed fit at : 17-56-41
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Failed fit at : 17-58-10
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Failed fit at : 17-59-38
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Failed fit at : 18-01-06
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Failed fit at : 18-02-39
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Failed fit at : 18-04-24
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Failed fit at : 18-06-11
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Failed fit at : 18-07-59
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Failed fit at : 18-09-42
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Failed fit at : 18-11-29
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Failed fit at : 18-13-17
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Failed fit at : 18-15-02
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Failed fit at : 18-16-49
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Failed fit at : 18-18-33
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Failed fit at : 18-20-18
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Failed fit at : 18-22-04
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Failed fit at : 18-23-50
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Failed fit at : 18-25-41
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Failed fit at : 18-27-30
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Failed fit at : 18-29-14
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Failed fit at : 18-30-58
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Failed fit at : 18-32-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Failed fit at : 18-34-17
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Failed fit at : 18-35-45
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Failed fit at : 18-37-28
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Failed fit at : 18-39-14
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Failed fit at : 18-41-02
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Failed fit at : 18-42-50
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Failed fit at : 18-44-38
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Failed fit at : 18-46-25
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Failed fit at : 18-48-12
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Failed fit at : 18-50-01
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Failed fit at : 18-51-46
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Failed fit at : 18-53-31
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Failed fit at : 18-55-20
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Failed fit at : 18-57-09
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Failed fit at : 18-58-58
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Failed fit at : 19-00-50
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Failed fit at : 19-02-37
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Failed fit at : 19-04-25
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Failed fit at : 19-06-09
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Failed fit at : 19-07-58
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Failed fit at : 19-09-45
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Failed fit at : 19-11-33
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Failed fit at : 19-13-21
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Failed fit at : 19-15-07
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Failed fit at : 19-16-53
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Failed fit at : 19-18-39
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Failed fit at : 19-20-25
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Failed fit at : 19-22-11
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Failed fit at : 19-23-58
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Failed fit at : 19-25-42
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Failed fit at : 19-27-24
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Failed fit at : 19-29-10
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Failed fit at : 19-30-56
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Failed fit at : 19-32-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Failed fit at : 19-34-31
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Failed fit at : 19-36-19
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Failed fit at : 19-38-05
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Failed fit at : 19-39-54
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Failed fit at : 19-41-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Failed fit at : 19-43-34
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Failed fit at : 19-45-18
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Failed fit at : 19-47-08
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Failed fit at : 19-48-55
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Failed fit at : 19-50-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Failed fit at : 19-52-32
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Failed fit at : 19-54-20
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Failed fit at : 19-56-07
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Failed fit at : 19-57-56
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Failed fit at : 19-59-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Failed fit at : 20-01-27
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Failed fit at : 20-03-16
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Failed fit at : 20-05-01
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Failed fit at : 20-06-28
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Failed fit at : 20-07-55
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Failed fit at : 20-09-22
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Failed fit at : 20-10-49
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Failed fit at : 20-12-17
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Failed fit at : 20-13-44
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Failed fit at : 20-15-12
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Failed fit at : 20-16-39
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Failed fit at : 20-18-07
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Failed fit at : 20-19-35
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Failed fit at : 20-21-02
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Failed fit at : 20-22-32
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Failed fit at : 20-24-04
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Failed fit at : 20-25-34
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Failed fit at : 20-27-05
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Failed fit at : 20-28-39
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Failed fit at : 20-30-22
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Failed fit at : 20-32-12
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Failed fit at : 20-33-57
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Failed fit at : 20-35-41
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Failed fit at : 20-37-26
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Failed fit at : 20-39-08
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Failed fit at : 20-40-50
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Failed fit at : 20-42-28
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Failed fit at : 20-44-02
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Failed fit at : 20-45-40
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Failed fit at : 20-47-19
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Failed fit at : 20-49-00
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Failed fit at : 20-50-43
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Failed fit at : 20-52-23
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Failed fit at : 20-54-03
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Failed fit at : 20-55-47
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Failed fit at : 20-57-31
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Failed fit at : 20-59-12
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Failed fit at : 21-00-42
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Failed fit at : 21-02-12
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Failed fit at : 21-03-41
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Failed fit at : 21-05-09
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-05-09', '21-05-53')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Failed fit at : 21-06-37
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-06-37', '21-07-20')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Failed fit at : 21-08-04
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-08-04', '21-08-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Failed fit at : 21-09-50
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-09-50', '21-10-43')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Failed fit at : 21-11-36
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-11-36', '21-12-29')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Failed fit at : 21-13-13
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-13-13', '21-13-57')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Failed fit at : 21-14-41
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-14-41', '21-15-24')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Failed fit at : 21-16-08
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-16-08', '21-16-52')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Failed fit at : 21-17-36
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-17-36', '21-18-19')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Failed fit at : 21-19-03
Traceback (most recent call last):
  File "<ipython-input-42-40d6a8b7fbcd>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-42-40d6a8b7fbcd>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-19-03', '21-19-47')

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			dh1.setOffset()
			dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68161

Fitting ERROR at  17-56-41 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-56-41', '17-57-25')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112165 is out of bounds for axis 0 with size 68161

Fitting ERROR at  17-58-10 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-58-10', '17-58-54')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169

Fitting ERROR at  17-59-38 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('17-59-38', '18-00-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-01-06 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-01-06', '18-01-50')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68163

Fitting ERROR at  18-02-39 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-02-39', '18-03-31')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-04-24 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-04-24', '18-05-17')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-06-11 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-06-11', '18-07-04')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112173 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-07-59 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-07-59', '18-08-51')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112098 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-09-42 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-09-42', '18-10-35')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112136 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-11-29 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-11-29', '18-12-22')
{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68173

Fitting ERROR at  18-13-17 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-13-17', '18-14-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68177

Fitting ERROR at  18-15-02 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-15-02', '18-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112192 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-16-49 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-16-49', '18-17-41')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112084 is out of bounds for axis 0 with size 68167

Fitting ERROR at  18-18-33 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-18-33', '18-19-25')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112177 is out of bounds for axis 0 with size 68173

Fitting ERROR at  18-20-18 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-20-18', '18-21-10')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112103 is out of bounds for axis 0 with size 68177

Fitting ERROR at  18-22-04 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-22-04', '18-22-56')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112145 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-23-50 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-23-50', '18-24-46')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-25-41 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-25-41', '18-26-35')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112190 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-27-30 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-27-30', '18-28-23')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112110 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-29-14 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-29-14', '18-30-07')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-30-58 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-30-58', '18-31-50')
{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-32-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-32-43', '18-33-33')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112198 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-34-17 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-34-17', '18-35-01')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68161

Fitting ERROR at  18-35-45 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-35-45', '18-36-37')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112206 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-37-28 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-37-28', '18-38-22')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-39-14 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-39-14', '18-40-07')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112207 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-41-02 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-41-02', '18-41-55')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112086 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-42-50 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-42-50', '18-43-45')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-44-38 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-44-38', '18-45-32')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-46-25 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-46-25', '18-47-18')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68187

Fitting ERROR at  18-48-12 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-48-12', '18-49-06')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112147 is out of bounds for axis 0 with size 68181

Fitting ERROR at  18-50-01 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-50-01', '18-50-54')
{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68169

Fitting ERROR at  18-51-46 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-51-46', '18-52-38')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68171

Fitting ERROR at  18-53-31 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-53-31', '18-54-26')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68183

Fitting ERROR at  18-55-20 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-55-20', '18-56-14')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68185

Fitting ERROR at  18-57-09 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-57-09', '18-58-04')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112092 is out of bounds for axis 0 with size 68175

Fitting ERROR at  18-58-58 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('18-58-58', '18-59-53')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112143 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-00-50 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-00-50', '19-01-45')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-02-37 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-02-37', '19-03-30')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112099 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-04-25 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-04-25', '19-05-18')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-06-09 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-06-09', '19-07-03')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-07-58 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-07-58', '19-08-50')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-09-45 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-09-45', '19-10-40')
{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112187 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-11-33 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-11-33', '19-12-26')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112114 is out of bounds for axis 0 with size 68171

Fitting ERROR at  19-13-21 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-13-21', '19-14-14')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-15-07 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-15-07', '19-15-58')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-16-53 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-16-53', '19-17-45')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-18-39 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-18-39', '19-19-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112146 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-20-25 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-20-25', '19-21-18')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-22-11 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-22-11', '19-23-06')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-23-58 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-23-58', '19-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112115 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-25-42 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-25-42', '19-26-32')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68185

Fitting ERROR at  19-27-24 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-27-24', '19-28-17')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-29-10 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-29-10', '19-30-04')
{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112128 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-30-56 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-30-56', '19-31-49')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68167

Fitting ERROR at  19-32-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-32-43', '19-33-39')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-34-31 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-34-31', '19-35-25')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68181

Fitting ERROR at  19-36-19 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-36-19', '19-37-13')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112163 is out of bounds for axis 0 with size 68179

Fitting ERROR at  19-38-05 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-38-05', '19-38-59')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112171 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-39-54 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-39-54', '19-40-47')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112140 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-41-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-41-43', '19-42-38')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112175 is out of bounds for axis 0 with size 68183

Fitting ERROR at  19-43-34 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-43-34', '19-44-27')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-45-18 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-45-18', '19-46-12')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112125 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-47-08 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-47-08', '19-48-02')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112091 is out of bounds for axis 0 with size 68169

Fitting ERROR at  19-48-55 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-48-55', '19-49-51')
{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112201 is out of bounds for axis 0 with size 68173

Fitting ERROR at  19-50-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-50-43', '19-51-37')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112184 is out of bounds for axis 0 with size 68179

Fitting ERROR at  19-52-32 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-52-32', '19-53-26')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112205 is out of bounds for axis 0 with size 68165

Fitting ERROR at  19-54-20 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-54-20', '19-55-13')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112160 is out of bounds for axis 0 with size 68181

Fitting ERROR at  19-56-07 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-56-07', '19-57-02')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112174 is out of bounds for axis 0 with size 68177

Fitting ERROR at  19-57-56 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-57-56', '19-58-49')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112151 is out of bounds for axis 0 with size 68175

Fitting ERROR at  19-59-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('19-59-43', '20-00-35')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112212 is out of bounds for axis 0 with size 68179

Fitting ERROR at  20-01-27 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-01-27', '20-02-23')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112141 is out of bounds for axis 0 with size 68177

Fitting ERROR at  20-03-16 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-03-16', '20-04-08')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112178 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-05-01 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-05-01', '20-05-44')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112162 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-06-28 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-06-28', '20-07-12')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-07-55 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-07-55', '20-08-39')
{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112138 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-09-22 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-09-22', '20-10-06')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-10-49 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-10-49', '20-11-33')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112105 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-12-17 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-12-17', '20-13-01')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112196 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-13-44 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-13-44', '20-14-28')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68159

Fitting ERROR at  20-15-12 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-15-12', '20-15-55')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112131 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-16-39 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-16-39', '20-17-24')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112139 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-18-07 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-18-07', '20-18-51')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112090 is out of bounds for axis 0 with size 68173

Fitting ERROR at  20-19-35 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-19-35', '20-20-19')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112122 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-21-02 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-21-02', '20-21-47')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112152 is out of bounds for axis 0 with size 68227

Fitting ERROR at  20-22-32 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-22-32', '20-23-18')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112153 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-24-04 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-24-04', '20-24-50')
{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112189 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-25-34 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-25-34', '20-26-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112179 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-27-05 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-27-05', '20-27-51')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112093 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-28-39 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-28-39', '20-29-29')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112134 is out of bounds for axis 0 with size 68193

Fitting ERROR at  20-30-22 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-30-22', '20-31-20')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112213 is out of bounds for axis 0 with size 68183

Fitting ERROR at  20-32-12 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-32-12', '20-33-07')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112176 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-33-57 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-33-57', '20-34-48')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112112 is out of bounds for axis 0 with size 68173

Fitting ERROR at  20-35-41 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-35-41', '20-36-35')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112186 is out of bounds for axis 0 with size 68179

Fitting ERROR at  20-37-26 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-37-26', '20-38-18')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112117 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-39-08 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-39-08', '20-39-58')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112191 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-40-50 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-40-50', '20-41-42')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112123 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-42-28 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-42-28', '20-43-15')
{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112133 is out of bounds for axis 0 with size 68161

Fitting ERROR at  20-44-02 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-44-02', '20-44-50')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112104 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-45-40 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-45-40', '20-46-29')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112102 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-47-19 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-47-19', '20-48-09')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112204 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-49-00 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-49-00', '20-49-52')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112149 is out of bounds for axis 0 with size 68169

Fitting ERROR at  20-50-43 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-50-43', '20-51-33')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112126 is out of bounds for axis 0 with size 68163

Fitting ERROR at  20-52-23 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-52-23', '20-53-13')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112148 is out of bounds for axis 0 with size 68177

Fitting ERROR at  20-54-03 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-54-03', '20-54-56')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112096 is out of bounds for axis 0 with size 68171

Fitting ERROR at  20-55-47 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-55-47', '20-56-40')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112101 is out of bounds for axis 0 with size 68175

Fitting ERROR at  20-57-31 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-57-31', '20-58-23')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112170 is out of bounds for axis 0 with size 68167

Fitting ERROR at  20-59-12 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('20-59-12', '20-59-57')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112155 is out of bounds for axis 0 with size 68163

Fitting ERROR at  21-00-42 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-00-42', '21-01-27')
{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112124 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-02-12 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-02-12', '21-02-56')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 549, in _load_single_run_rel_scat
    dh1.setAllCAT(0.002)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 759, in setAllCAT
    self.setBaseline(timeBuffer)
  File "c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py", line 301, in setBaseline
    if (self.voltage[i] > 6*0.01):
        ~~~~~~~~~~~~^^^
IndexError: index 112137 is out of bounds for axis 0 with size 68161

Fitting ERROR at  21-03-41 

Traceback (most recent call last):
  File "<ipython-input-44-c8e8e635bf4e>", line 491, in get_rel_scattering_df
    fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
                                              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 515, in get_rel_scattering
    resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "<ipython-input-44-c8e8e635bf4e>", line 576, in _load_single_run_rel_scat
    scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
                 ~~~~~~~~~~~^^^^^^^^^
KeyError: 'motSS'

Error 'motSS' at ('21-03-41', '21-04-25')
{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
Cell In[45], line 1
----> 1 get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

Cell In[44], line 491, in get_rel_scattering_df(data_folder)
    488 					#print(f.readlines())
    490 				timestamp = get_timestamp(run_path)
--> 491 				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
    493 				extracted_values = {
    494 						'pa1': result['pd1'][0],
    495 						'pd1': result['pd1'][1],
   (...)
    499       					'timestamp': timestamp
    500 					}
    501 				depth_ratios_df.append(extracted_values)

Cell In[44], line 515, in get_rel_scattering(run_path1, run_path2)
    514 def get_rel_scattering(run_path1, run_path2):
--> 515 	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
    516 	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
    518 	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")

Cell In[44], line 538, in _load_single_run_rel_scat(run_path, plot, cache_all)
    536 try: 
    537 	dh1 = MTdataHost(SAMPLE_RATE)
--> 538 	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
    540 	dh1.tBaseline = 1
    541 	dh1.tLoad = 2

File c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py:116, in MTdataHost.loadCATdata(self, fileName, settingsName)
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=104'>105</a> '''
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=105'>106</a> loads data from a .csv file and setting file as written by CATmeasurement.py
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=106'>107</a> 
   (...)
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=110'>111</a> settingsName - location of .txt file containing apparatus parameters set during measurement
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=111'>112</a> '''
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=113'>114</a> self.CATbkBool = False
--> <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=115'>116</a> data = np.genfromtxt(fileName ,dtype=None, comments="#", delimiter=",", skip_header=1)
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=116'>117</a> self.settings = eval(open(settingsName, 'r').read())
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=118'>119</a> self.timeBaseline = self.settings['wait_baseline']

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\numpy\lib\npyio.py:2226, in genfromtxt(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding, ndmin, like)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2222'>2223</a> append_to_invalid = invalid.append
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2224'>2225</a> # Parse each line
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2225'>2226</a> for (i, line) in enumerate(itertools.chain([first_line, ], fhd)):
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2226'>2227</a>     values = split_line(line)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/numpy/lib/npyio.py?line=2227'>2228</a>     nbvalues = len(values)

File <frozen codecs>:319, in decode(self, input, final)

KeyboardInterrupt: 

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			#dh1.setOffset()
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in [listdir[i:i+2] for i in range(len(listdir))[::2]]:
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path)
				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
      					'timestamp': timestamp
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	
	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			dh1.tBaseline = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1
			dh1.tCATbackground = dh1.tReload + dh1.timeReload

			#dh1.setOffset()
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
scat_ratio 1, (2 inverted) = 1.652, 1.621
Rratio = 0.014 / 0.010 = 1.456


{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
scat_ratio 1, (2 inverted) = 2.086, 2.015
Rratio = 0.015 / 0.005 = 2.946


{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
Cell In[47], line 1
----> 1 get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

Cell In[46], line 491, in get_rel_scattering_df(data_folder)
    488 					#print(f.readlines())
    490 				timestamp = get_timestamp(run_path)
--> 491 				fit_results1, fit_results2, depth_ratio = get_rel_scattering(run_path1, run_path2)
    493 				extracted_values = {
    494 						'pa1': result['pd1'][0],
    495 						'pd1': result['pd1'][1],
   (...)
    499       					'timestamp': timestamp
    500 					}
    501 				depth_ratios_df.append(extracted_values)

Cell In[46], line 516, in get_rel_scattering(run_path1, run_path2)
    514 def get_rel_scattering(run_path1, run_path2):
    515 	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
--> 516 	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
    518 	print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
    519 	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2

Cell In[46], line 554, in _load_single_run_rel_scat(run_path, plot, cache_all)
    552 	fit_results = dh1.getResults(run_path, store=True)
    553 	if plot:
--> 554 		dh1.storeFits(run_path, combined=True, separate=False)
    555 except Exception as e:
    556 	print(traceback.format_exc())

File c:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\analysis\MT_class_PID_new.py:810, in MTdataHost.storeFits(self, dirName, combined, separate)
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=806'>807</a> 	plt.plot(self.CATbackgroundTime,self.CATbackgroundVoltage, c='pink')
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=807'>808</a> 	plt.plot(self.initTime, self.initFit[2], color='grey')
--> <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=809'>810</a> 	plt.savefig(os.path.join(dirName,'fits.png'), dpi=400)
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=810'>811</a> 	plt.close()
    <a href='file:///c%3A/Users/svars/OneDrive/Desktop/UBC%20Lab/CATExperiment/analysis/MT_class_PID_new.py?line=812'>813</a> if separate:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\pyplot.py:1023, in savefig(*args, **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1019'>1020</a> @_copy_docstring_and_deprecators(Figure.savefig)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1020'>1021</a> def savefig(*args, **kwargs):
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1021'>1022</a>     fig = gcf()
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1022'>1023</a>     res = fig.savefig(*args, **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1023'>1024</a>     fig.canvas.draw_idle()  # Need this if 'transparent=True', to reset colors.
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/pyplot.py?line=1024'>1025</a>     return res

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\figure.py:3343, in Figure.savefig(self, fname, transparent, **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3338'>3339</a>     for ax in self.axes:
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3339'>3340</a>         stack.enter_context(
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3340'>3341</a>             ax.patch._cm_set(facecolor='none', edgecolor='none'))
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3342'>3343</a> self.canvas.print_figure(fname, **kwargs)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:2366, in FigureCanvasBase.print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2361'>2362</a> try:
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2362'>2363</a>     # _get_renderer may change the figure dpi (as vector formats
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2363'>2364</a>     # force the figure dpi to 72), so we need to set it again here.
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2364'>2365</a>     with cbook._setattr_cm(self.figure, dpi=dpi):
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2365'>2366</a>         result = print_method(
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2366'>2367</a>             filename,
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2367'>2368</a>             facecolor=facecolor,
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2368'>2369</a>             edgecolor=edgecolor,
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2369'>2370</a>             orientation=orientation,
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2370'>2371</a>             bbox_inches_restore=_bbox_inches_restore,
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2371'>2372</a>             **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2372'>2373</a> finally:
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2373'>2374</a>     if bbox_inches and restore_bbox:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:2232, in FigureCanvasBase._switch_canvas_and_return_print_method.<locals>.<lambda>(*args, **kwargs)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2227'>2228</a>     optional_kws = {  # Passed by print_figure for other renderers.
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2228'>2229</a>         "dpi", "facecolor", "edgecolor", "orientation",
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2229'>2230</a>         "bbox_inches_restore"}
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2230'>2231</a>     skip = optional_kws - {*inspect.signature(meth).parameters}
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2231'>2232</a>     print_method = functools.wraps(meth)(lambda *args, **kwargs: meth(
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2232'>2233</a>         *args, **{k: v for k, v in kwargs.items() if k not in skip}))
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2233'>2234</a> else:  # Let third-parties do as they see fit.
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=2234'>2235</a>     print_method = meth

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:509, in FigureCanvasAgg.print_png(self, filename_or_obj, metadata, pil_kwargs)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=461'>462</a> def print_png(self, filename_or_obj, *, metadata=None, pil_kwargs=None):
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=462'>463</a>     """
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=463'>464</a>     Write the figure to a PNG file.
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=464'>465</a> 
   (...)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=506'>507</a>         *metadata*, including the default 'Software' key.
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=507'>508</a>     """
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=508'>509</a>     self._print_pil(filename_or_obj, "png", pil_kwargs, metadata)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:457, in FigureCanvasAgg._print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=451'>452</a> def _print_pil(self, filename_or_obj, fmt, pil_kwargs, metadata=None):
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=452'>453</a>     """
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=453'>454</a>     Draw the canvas, then save it using `.image.imsave` (to which
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=454'>455</a>     *pil_kwargs* and *metadata* are forwarded).
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=455'>456</a>     """
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=456'>457</a>     FigureCanvasAgg.draw(self)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=457'>458</a>     mpl.image.imsave(
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=458'>459</a>         filename_or_obj, self.buffer_rgba(), format=fmt, origin="upper",
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=459'>460</a>         dpi=self.figure.dpi, metadata=metadata, pil_kwargs=pil_kwargs)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backends\backend_agg.py:400, in FigureCanvasAgg.draw(self)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=395'>396</a> # Acquire a lock on the shared font cache.
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=396'>397</a> with RendererAgg.lock, \
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=397'>398</a>      (self.toolbar._wait_cursor_for_draw_cm() if self.toolbar
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=398'>399</a>       else nullcontext()):
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=399'>400</a>     self.figure.draw(self.renderer)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=400'>401</a>     # A GUI class may be need to update a window using this draw, so
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=401'>402</a>     # don't forget to call the superclass.
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backends/backend_agg.py?line=402'>403</a>     super().draw()

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:95, in _finalize_rasterization.<locals>.draw_wrapper(artist, renderer, *args, **kwargs)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=92'>93</a> @wraps(draw)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=93'>94</a> def draw_wrapper(artist, renderer, *args, **kwargs):
---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=94'>95</a>     result = draw(artist, renderer, *args, **kwargs)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=95'>96</a>     if renderer._rasterizing:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=96'>97</a>         renderer.stop_rasterizing()

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a>     if artist.get_agg_filter() is not None:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a>         renderer.start_filter()
---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a>     return draw(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a>     if artist.get_agg_filter() is not None:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\figure.py:3140, in Figure.draw(self, renderer)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3136'>3137</a>         # ValueError can occur when resizing a window.
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3138'>3139</a> self.patch.draw(renderer)
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3139'>3140</a> mimage._draw_list_compositing_images(
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3140'>3141</a>     renderer, self, artists, self.suppressComposite)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3142'>3143</a> for sfig in self.subfigs:
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/figure.py?line=3143'>3144</a>     sfig.draw(renderer)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=128'>129</a> if not_composite or not has_images:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=129'>130</a>     for a in artists:
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=130'>131</a>         a.draw(renderer)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=131'>132</a> else:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=132'>133</a>     # Composite any adjacent images together
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=133'>134</a>     image_group = []

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a>     if artist.get_agg_filter() is not None:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a>         renderer.start_filter()
---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a>     return draw(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a>     if artist.get_agg_filter() is not None:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\axes\_base.py:3064, in _AxesBase.draw(self, renderer)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3060'>3061</a> if artists_rasterized:
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3061'>3062</a>     _draw_rasterized(self.figure, artists_rasterized, renderer)
-> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3063'>3064</a> mimage._draw_list_compositing_images(
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3064'>3065</a>     renderer, self, artists, self.figure.suppressComposite)
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3066'>3067</a> renderer.close_group('axes')
   <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/axes/_base.py?line=3067'>3068</a> self.stale = False

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\image.py:131, in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=128'>129</a> if not_composite or not has_images:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=129'>130</a>     for a in artists:
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=130'>131</a>         a.draw(renderer)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=131'>132</a> else:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=132'>133</a>     # Composite any adjacent images together
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/image.py?line=133'>134</a>     image_group = []

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a>     if artist.get_agg_filter() is not None:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a>         renderer.start_filter()
---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a>     return draw(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a>     if artist.get_agg_filter() is not None:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\collections.py:972, in _CollectionWithSizes.draw(self, renderer)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=968'>969</a> @artist.allow_rasterization
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=969'>970</a> def draw(self, renderer):
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=970'>971</a>     self.set_sizes(self._sizes, self.figure.dpi)
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=971'>972</a>     super().draw(renderer)

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\artist.py:72, in allow_rasterization.<locals>.draw_wrapper(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=68'>69</a>     if artist.get_agg_filter() is not None:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=69'>70</a>         renderer.start_filter()
---> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=71'>72</a>     return draw(artist, renderer)
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=72'>73</a> finally:
     <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/artist.py?line=73'>74</a>     if artist.get_agg_filter() is not None:

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\collections.py:417, in Collection.draw(self, renderer)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=407'>408</a> else:
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=408'>409</a>     renderer.draw_path_collection(
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=409'>410</a>         gc, transform.frozen(), paths,
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=410'>411</a>         self.get_transforms(), offsets, offset_trf,
   (...)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=413'>414</a>         self._antialiaseds, self._urls,
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=414'>415</a>         "screen")  # offset_position, kept for backcompat.
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=416'>417</a> gc.restore()
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=417'>418</a> renderer.close_group(self.__class__.__name__)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/collections.py?line=418'>419</a> self.stale = False

File c:\ProgramData\Anaconda3\envs\magpy_env\Lib\site-packages\matplotlib\backend_bases.py:801, in GraphicsContextBase.restore(self)
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=797'>798</a>     self._snap = gc._snap
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=798'>799</a>     self._sketch = gc._sketch
--> <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=800'>801</a> def restore(self):
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=801'>802</a>     """
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=802'>803</a>     Restore the graphics context from the stack - needed only
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=803'>804</a>     for backends that save graphics contexts on a stack.
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=804'>805</a>     """
    <a href='file:///c%3A/ProgramData/Anaconda3/envs/magpy_env/Lib/site-packages/matplotlib/backend_bases.py?line=806'>807</a> def get_alpha(self):

KeyboardInterrupt: 

import seaborn as sns
scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()

  0%|          | 0/121 [00:00<?, ?it/s]<ipython-input-64-1a272312f3b3>:523: RuntimeWarning: invalid value encountered in sqrt
  depthRatio = np.sqrt(Rratio/scat_ratio_avg)
 29%|██▉       | 35/121 [00:00<00:00, 347.96it/s]

{'pd1': (1.85, 84.0), 'pd2': (1.125, 82.4)}
Accessing cached results from : 17-56-41
Accessing cached results from : 17-57-25
scat_ratio 1, (2 inverted) = 1.652, 1.621
Rratio = 0.014 / 0.010 = 1.456


{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.8)}
Accessing cached results from : 17-58-10
Accessing cached results from : 17-58-54
scat_ratio 1, (2 inverted) = 2.086, 2.015
Rratio = 0.015 / 0.005 = 2.946


{'pd1': (1.85, 84.0), 'pd2': (1.125, 86.4)}
Accessing cached results from : 17-59-38
Accessing cached results from : 18-00-22
scat_ratio 1, (2 inverted) = 0.913, 0.914
Rratio = 0.014 / 0.006 = 2.472


{'pd1': (1.85, 84.0), 'pd2': (1.125, 85.6)}
Accessing cached results from : 18-01-06
Accessing cached results from : 18-01-50
scat_ratio 1, (2 inverted) = 0.981, 0.958
Rratio = 0.013 / 0.007 = 1.829


{'pd1': (1.85, 84.0), 'pd2': (1.125, 80.0)}
Accessing cached results from : 18-02-39
Accessing cached results from : 18-03-31
scat_ratio 1, (2 inverted) = 2.408, 2.328
Rratio = 0.012 / 0.002 = 7.372


{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.0)}
Accessing cached results from : 18-04-24
Accessing cached results from : 18-05-17
scat_ratio 1, (2 inverted) = 1.294, 1.238
Rratio = 0.013 / 0.009 = 1.435


{'pd1': (1.85, 84.0), 'pd2': (1.125, 81.6)}
Accessing cached results from : 18-06-11
Accessing cached results from : 18-07-04
scat_ratio 1, (2 inverted) = 1.872, 1.779
Rratio = 0.012 / 0.004 = 3.021


{'pd1': (1.85, 84.0), 'pd2': (1.125, 83.2)}
Accessing cached results from : 18-07-59
Accessing cached results from : 18-08-51
scat_ratio 1, (2 inverted) = 1.401, 1.371
Rratio = 0.011 / 0.009 = 1.218


{'pd1': (1.85, 84.0), 'pd2': (1.125, 88.0)}
Accessing cached results from : 18-09-42
Accessing cached results from : 18-10-35
scat_ratio 1, (2 inverted) = 0.950, 0.230
Rratio = 0.012 / 0.000 = 27.840


{'pd1': (1.85, 84.0), 'pd2': (1.125, 87.2)}
Accessing cached results from : 18-11-29
Accessing cached results from : 18-12-22
scat_ratio 1, (2 inverted) = 0.881, 0.885
Rratio = 0.012 / 0.003 = 3.479


{'pd1': (1.85, 84.0), 'pd2': (1.125, 84.8)}
Accessing cached results from : 18-13-17
Accessing cached results from : 18-14-10
scat_ratio 1, (2 inverted) = 1.111, 1.113
Rratio = 0.012 / 0.008 = 1.473


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 82.4)}
Accessing cached results from : 18-15-02
Accessing cached results from : 18-15-55
scat_ratio 1, (2 inverted) = 2.319, 2.136
Rratio = 0.012 / 0.005 = 2.264


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.8)}
Accessing cached results from : 18-16-49
Accessing cached results from : 18-17-41
scat_ratio 1, (2 inverted) = 2.958, 2.682
Rratio = 0.011 / -0.001 = -18.151


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 86.4)}
Accessing cached results from : 18-18-33
Accessing cached results from : 18-19-25
scat_ratio 1, (2 inverted) = 1.061, 1.081
Rratio = 0.012 / 0.004 = 3.427


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 85.6)}
Accessing cached results from : 18-20-18
Accessing cached results from : 18-21-10
scat_ratio 1, (2 inverted) = 1.252, 1.254
Rratio = 0.012 / 0.005 = 2.668


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 80.0)}
Accessing cached results from : 18-22-04
Accessing cached results from : 18-22-56
scat_ratio 1, (2 inverted) = 3.387, 3.062
Rratio = 0.013 / 0.003 = 5.029


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.0)}
Accessing cached results from : 18-23-50
Accessing cached results from : 18-24-46
scat_ratio 1, (2 inverted) = 1.749, 1.756
Rratio = 0.013 / 0.005 = 2.631


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 81.6)}
Accessing cached results from : 18-25-41
Accessing cached results from : 18-26-35
scat_ratio 1, (2 inverted) = 2.601, 2.552
Rratio = 0.013 / 0.001 = 11.784


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 83.2)}
Accessing cached results from : 18-27-30
Accessing cached results from : 18-28-23
scat_ratio 1, (2 inverted) = 1.941, 1.955
Rratio = 0.013 / 0.005 = 2.428


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 88.0)}
Accessing cached results from : 18-29-14
Accessing cached results from : 18-30-07
scat_ratio 1, (2 inverted) = 0.948, 1.007
Rratio = 0.014 / 0.001 = 12.414


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 87.2)}
Accessing cached results from : 18-30-58
Accessing cached results from : 18-31-50
scat_ratio 1, (2 inverted) = 0.964, 0.978
Rratio = 0.014 / 0.003 = 5.300


{'pd1': (1.85, 84.0), 'pd2': (0.6900000000000001, 84.8)}
Accessing cached results from : 18-32-43
Accessing cached results from : 18-33-33
scat_ratio 1, (2 inverted) = 1.435, 1.435
Rratio = 0.013 / 0.005 = 2.584


{'pd1': (1.85, 84.0), 'pd2': (1.705, 82.4)}
Accessing cached results from : 18-34-17
Accessing cached results from : 18-35-01
scat_ratio 1, (2 inverted) = 1.284, 1.234
Rratio = 0.012 / 0.012 = 1.023


{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.8)}
Accessing cached results from : 18-35-45
Accessing cached results from : 18-36-37
scat_ratio 1, (2 inverted) = 1.573, 1.257
Rratio = 0.014 / 0.006 = 2.245


{'pd1': (1.85, 84.0), 'pd2': (1.705, 86.4)}
Accessing cached results from : 18-37-28
Accessing cached results from : 18-38-22
scat_ratio 1, (2 inverted) = 0.889, 0.855
Rratio = 0.013 / 0.006 = 2.128


{'pd1': (1.85, 84.0), 'pd2': (1.705, 85.6)}
Accessing cached results from : 18-39-14
Accessing cached results from : 18-40-07
scat_ratio 1, (2 inverted) = 0.933, 0.855
Rratio = 0.012 / 0.008 = 1.473


{'pd1': (1.85, 84.0), 'pd2': (1.705, 80.0)}
Accessing cached results from : 18-41-02
Accessing cached results from : 18-41-55
scat_ratio 1, (2 inverted) = 1.809, 1.670
Rratio = 0.012 / 0.003 = 3.440


{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.0)}
Accessing cached results from : 18-42-50
Accessing cached results from : 18-43-45
scat_ratio 1, (2 inverted) = 1.035, 1.021
Rratio = 0.013 / 0.012 = 1.036


{'pd1': (1.85, 84.0), 'pd2': (1.705, 81.6)}
Accessing cached results from : 18-44-38
Accessing cached results from : 18-45-32
scat_ratio 1, (2 inverted) = 1.419, 1.344
Rratio = 0.011 / 0.011 = 0.932


{'pd1': (1.85, 84.0), 'pd2': (1.705, 83.2)}
Accessing cached results from : 18-46-25
Accessing cached results from : 18-47-18
scat_ratio 1, (2 inverted) = 1.115, 1.099
Rratio = 0.013 / 0.013 = 0.946


{'pd1': (1.85, 84.0), 'pd2': (1.705, 88.0)}
Accessing cached results from : 18-48-12
Accessing cached results from : 18-49-06
scat_ratio 1, (2 inverted) = 1.032, -41.446
Rratio = 0.012 / -0.000 = -67.052


{'pd1': (1.85, 84.0), 'pd2': (1.705, 87.2)}
Accessing cached results from : 18-50-01
Accessing cached results from : 18-50-54
scat_ratio 1, (2 inverted) = 0.894, 0.770
Rratio = 0.013 / 0.003 = 3.983


{'pd1': (1.85, 84.0), 'pd2': (1.705, 84.8)}
Accessing cached results from : 18-51-46
Accessing cached results from : 18-52-38
scat_ratio 1, (2 inverted) = 0.942, 0.929
Rratio = 0.012 / 0.010 = 1.155


{'pd1': (1.85, 84.0), 'pd2': (0.4, 82.4)}
Accessing cached results from : 18-53-31
Accessing cached results from : 18-54-26
scat_ratio 1, (2 inverted) = 3.368, 3.034
Rratio = 0.012 / 0.002 = 7.017


{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.8)}
Accessing cached results from : 18-55-20
Accessing cached results from : 18-56-14
scat_ratio 1, (2 inverted) = 4.662, 4.456
Rratio = 0.011 / 0.001 = 9.568


{'pd1': (1.85, 84.0), 'pd2': (0.4, 86.4)}
Accessing cached results from : 18-57-09
Accessing cached results from : 18-58-04
scat_ratio 1, (2 inverted) = 1.368, 1.359
Rratio = 0.010 / 0.002 = 5.204


{'pd1': (1.85, 84.0), 'pd2': (0.4, 85.6)}
Accessing cached results from : 18-58-58
Accessing cached results from : 18-59-53
scat_ratio 1, (2 inverted) = 1.753, 1.686
Rratio = 0.013 / 0.002 = 5.900


{'pd1': (1.85, 84.0), 'pd2': (0.4, 80.0)}
Accessing cached results from : 19-00-50
Accessing cached results from : 19-01-45
scat_ratio 1, (2 inverted) = 5.307, 3.835
Rratio = 0.013 / 0.000 = 41.478


{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.0)}
Accessing cached results from : 19-02-37
Accessing cached results from : 19-03-30
scat_ratio 1, (2 inverted) = 2.477, 2.327
Rratio = 0.011 / 0.002 = 4.873


{'pd1': (1.85, 84.0), 'pd2': (0.4, 81.6)}
Accessing cached results from : 19-04-25
Accessing cached results from : 19-05-18
scat_ratio 1, (2 inverted) = 4.012, 3.708
Rratio = 0.013 / 0.001 = 9.530


{'pd1': (1.85, 84.0), 'pd2': (0.4, 83.2)}
Accessing cached results from : 19-06-09
Accessing cached results from : 19-07-03
scat_ratio 1, (2 inverted) = 2.936, 2.696
Rratio = 0.013 / 0.003 = 4.566


{'pd1': (1.85, 84.0), 'pd2': (0.4, 88.0)}
Accessing cached results from : 19-07-58
Accessing cached results from : 19-08-50
scat_ratio 1, (2 inverted) = 1.066, 1.104
Rratio = 0.013 / 0.001 = 16.966


{'pd1': (1.85, 84.0), 'pd2': (0.4, 87.2)}
Accessing cached results from : 19-09-45
Accessing cached results from : 19-10-40
scat_ratio 1, (2 inverted) = 1.175, 1.171
Rratio = 0.013 / 0.001 = 9.722


{'pd1': (1.85, 84.0), 'pd2': (0.4, 84.8)}
Accessing cached results from : 19-11-33
Accessing cached results from : 19-12-26
scat_ratio 1, (2 inverted) = 2.102, 1.934
Rratio = 0.013 / 0.003 = 4.649


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 82.4)}
Accessing cached results from : 19-13-21
Accessing cached results from : 19-14-14
scat_ratio 1, (2 inverted) = 1.810, 1.787
Rratio = 0.013 / 0.007 = 1.881


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.8)}
Accessing cached results from : 19-15-07
Accessing cached results from : 19-15-58
scat_ratio 1, (2 inverted) = 2.287, 2.321
Rratio = 0.012 / 0.006 = 1.922


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 86.4)}
Accessing cached results from : 19-16-53
Accessing cached results from : 19-17-45
scat_ratio 1, (2 inverted) = 0.943, 0.918
Rratio = 0.011 / 0.005 = 2.468


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 85.6)}
Accessing cached results from : 19-18-39
Accessing cached results from : 19-19-32
scat_ratio 1, (2 inverted) = 1.042, 1.027
Rratio = 0.011 / 0.006 = 1.919


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 80.0)}
Accessing cached results from : 19-20-25
Accessing cached results from : 19-21-18
scat_ratio 1, (2 inverted) = 2.571, 2.109
Rratio = 0.011 / 0.003 = 3.867


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.0)}
Accessing cached results from : 19-22-11
Accessing cached results from : 19-23-06
scat_ratio 1, (2 inverted) = 1.364, 1.310
Rratio = 0.012 / 0.007 = 1.630


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 81.6)}
Accessing cached results from : 19-23-58
Accessing cached results from : 19-24-50
scat_ratio 1, (2 inverted) = 2.136, 1.904
Rratio = 0.012 / 0.006 = 1.836


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 83.2)}
Accessing cached results from : 19-25-42
Accessing cached results from : 19-26-32
scat_ratio 1, (2 inverted) = 1.572, 1.489
Rratio = 0.012 / 0.007 = 1.755


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 88.0)}
Accessing cached results from : 19-27-24
Accessing cached results from : 19-28-17
scat_ratio 1, (2 inverted) = 0.936, 1.069
Rratio = 0.011 / 0.001 = 8.627


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 87.2)}
Accessing cached results from : 19-29-10
Accessing cached results from : 19-30-04
scat_ratio 1, (2 inverted) = 0.895, 0.895
Rratio = 0.012 / 0.003 = 4.222


{'pd1': (1.85, 84.0), 'pd2': (0.9800000000000001, 84.8)}
Accessing cached results from : 19-30-56
Accessing cached results from : 19-31-49
scat_ratio 1, (2 inverted) = 1.219, 1.155
Rratio = 0.012 / 0.007 = 1.679


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 82.4)}
Accessing cached results from : 19-32-43
Accessing cached results from : 19-33-39
scat_ratio 1, (2 inverted) = 1.984, 1.834
Rratio = 0.011 / 0.005 = 2.146


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.8)}
Accessing cached results from : 19-34-31
Accessing cached results from : 19-35-25
scat_ratio 1, (2 inverted) = 2.566, 2.419
Rratio = 0.012 / 0.003 = 3.561


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 86.4)}
Accessing cached results from : 19-36-19
Accessing cached results from : 19-37-13
scat_ratio 1, (2 inverted) = 0.985, 0.991
Rratio = 0.012 / 0.004 = 2.871


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 85.6)}
Accessing cached results from : 19-38-05
Accessing cached results from : 19-38-59
scat_ratio 1, (2 inverted) = 1.129, 1.088
Rratio = 0.013 / 0.006 = 2.313


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 80.0)}
Accessing cached results from : 19-39-54
Accessing cached results from : 19-40-47
scat_ratio 1, (2 inverted) = 2.953, 2.673
Rratio = 0.013 / 0.003 = 4.652


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.0)}
Accessing cached results from : 19-41-43
Accessing cached results from : 19-42-38
scat_ratio 1, (2 inverted) = 1.543, 1.515
Rratio = 0.013 / 0.006 = 2.145


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 81.6)}
Accessing cached results from : 19-43-34
Accessing cached results from : 19-44-27
scat_ratio 1, (2 inverted) = 2.296, 2.163
Rratio = 0.013 / 0.007 = 2.013


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 83.2)}
Accessing cached results from : 19-45-18
Accessing cached results from : 19-46-12
scat_ratio 1, (2 inverted) = 1.747, 1.731
Rratio = 0.013 / 0.006 = 2.219


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 88.0)}
Accessing cached results from : 19-47-08
Accessing cached results from : 19-48-02
scat_ratio 1, (2 inverted) = 0.925, 1.049
Rratio = 0.011 / -0.001 = -9.977


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 87.2)}
Accessing cached results from : 19-48-55
Accessing cached results from : 19-49-51
scat_ratio 1, (2 inverted) = 0.915, 0.917
Rratio = 0.012 / 0.002 = 4.769


{'pd1': (1.85, 84.0), 'pd2': (0.8350000000000001, 84.8)}
Accessing cached results from : 19-50-43
Accessing cached results from : 19-51-37
scat_ratio 1, (2 inverted) = 1.283, 1.256
Rratio = 0.011 / 0.006 = 1.774

100%|██████████| 121/121 [00:00<00:00, 324.84it/s]

{'pd1': (1.85, 84.0), 'pd2': (1.415, 82.4)}
Accessing cached results from : 19-52-32
Accessing cached results from : 19-53-26
scat_ratio 1, (2 inverted) = 1.391, 1.401
Rratio = 0.011 / 0.010 = 1.071


{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.8)}
Accessing cached results from : 19-54-20
Accessing cached results from : 19-55-13
scat_ratio 1, (2 inverted) = 1.768, 1.668
Rratio = 0.011 / 0.006 = 1.792


{'pd1': (1.85, 84.0), 'pd2': (1.415, 86.4)}
Accessing cached results from : 19-56-07
Accessing cached results from : 19-57-02
scat_ratio 1, (2 inverted) = 0.374, 0.882
Rratio = 0.011 / 0.005 = 2.045


{'pd1': (1.85, 84.0), 'pd2': (1.415, 85.6)}
Accessing cached results from : 19-57-56
Accessing cached results from : 19-58-49
scat_ratio 1, (2 inverted) = 0.912, 0.904
Rratio = 0.011 / 0.008 = 1.399


{'pd1': (1.85, 84.0), 'pd2': (1.415, 80.0)}
Accessing cached results from : 19-59-43
Accessing cached results from : 20-00-35
scat_ratio 1, (2 inverted) = 2.037, 1.911
Rratio = 0.011 / 0.003 = 3.274


{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.0)}
Accessing cached results from : 20-01-27
Accessing cached results from : 20-02-23
scat_ratio 1, (2 inverted) = 1.132, 1.076
Rratio = 0.011 / 0.010 = 1.090


{'pd1': (1.85, 84.0), 'pd2': (1.415, 81.6)}
Accessing cached results from : 20-03-16
Accessing cached results from : 20-04-08
scat_ratio 1, (2 inverted) = 1.577, 1.502
Rratio = 0.011 / 0.005 = 1.996


{'pd1': (1.85, 84.0), 'pd2': (1.415, 83.2)}
Accessing cached results from : 20-05-01
Accessing cached results from : 20-05-44
scat_ratio 1, (2 inverted) = 1.226, 1.195
Rratio = 0.011 / 0.010 = 1.025


{'pd1': (1.85, 84.0), 'pd2': (1.415, 88.0)}
Accessing cached results from : 20-06-28
Accessing cached results from : 20-07-12
scat_ratio 1, (2 inverted) = 1.581, 0.571
Rratio = 0.011 / -0.000 = -79.686


{'pd1': (1.85, 84.0), 'pd2': (1.415, 87.2)}
Accessing cached results from : 20-07-55
Accessing cached results from : 20-08-39
scat_ratio 1, (2 inverted) = 0.526, 0.898
Rratio = 0.011 / 0.003 = 3.555


{'pd1': (1.85, 84.0), 'pd2': (1.415, 84.8)}
Accessing cached results from : 20-09-22
Accessing cached results from : 20-10-06
scat_ratio 1, (2 inverted) = 1.005, 0.987
Rratio = 0.011 / 0.009 = 1.208


{'pd1': (1.85, 84.0), 'pd2': (0.545, 82.4)}
Accessing cached results from : 20-10-49
Accessing cached results from : 20-11-33
scat_ratio 1, (2 inverted) = 2.585, 2.419
Rratio = 0.010 / 0.002 = 5.209


{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.8)}
Accessing cached results from : 20-12-17
Accessing cached results from : 20-13-01
scat_ratio 1, (2 inverted) = 3.428, 3.152
Rratio = 0.012 / 0.003 = 3.875


{'pd1': (1.85, 84.0), 'pd2': (0.545, 86.4)}
Accessing cached results from : 20-13-44
Accessing cached results from : 20-14-28
scat_ratio 1, (2 inverted) = 1.182, 1.171
Rratio = 0.012 / 0.003 = 4.254


{'pd1': (1.85, 84.0), 'pd2': (0.545, 85.6)}
Accessing cached results from : 20-15-12
Accessing cached results from : 20-15-55
scat_ratio 1, (2 inverted) = 1.398, 1.371
Rratio = 0.012 / 0.003 = 3.554


{'pd1': (1.85, 84.0), 'pd2': (0.545, 80.0)}
Accessing cached results from : 20-16-39
Accessing cached results from : 20-17-24
scat_ratio 1, (2 inverted) = 4.047, 3.348
Rratio = 0.012 / 0.002 = 7.187


{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.0)}
Accessing cached results from : 20-18-07
Accessing cached results from : 20-18-51
scat_ratio 1, (2 inverted) = 1.996, 1.892
Rratio = 0.012 / 0.004 = 3.268


{'pd1': (1.85, 84.0), 'pd2': (0.545, 81.6)}
Accessing cached results from : 20-19-35
Accessing cached results from : 20-20-19
scat_ratio 1, (2 inverted) = 2.968, 2.747
Rratio = 0.012 / 0.003 = 4.301


{'pd1': (1.85, 84.0), 'pd2': (0.545, 83.2)}
Accessing cached results from : 20-21-02
Accessing cached results from : 20-21-47
scat_ratio 1, (2 inverted) = 2.238, 2.160
Rratio = 0.012 / 0.003 = 3.724


{'pd1': (1.85, 84.0), 'pd2': (0.545, 88.0)}
Accessing cached results from : 20-22-32
Accessing cached results from : 20-23-18
scat_ratio 1, (2 inverted) = 0.964, 1.044
Rratio = 0.012 / 0.001 = 16.911


{'pd1': (1.85, 84.0), 'pd2': (0.545, 87.2)}
Accessing cached results from : 20-24-04
Accessing cached results from : 20-24-50
scat_ratio 1, (2 inverted) = 1.019, 1.045
Rratio = 0.011 / 0.002 = 5.263


{'pd1': (1.85, 84.0), 'pd2': (0.545, 84.8)}
Accessing cached results from : 20-25-34
Accessing cached results from : 20-26-20
scat_ratio 1, (2 inverted) = 1.691, 1.630
Rratio = 0.010 / 0.004 = 2.770


{'pd1': (1.85, 84.0), 'pd2': (1.27, 82.4)}
Accessing cached results from : 20-27-05
Accessing cached results from : 20-27-51
scat_ratio 1, (2 inverted) = 1.540, 1.471
Rratio = 0.011 / 0.009 = 1.330


{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.8)}
Accessing cached results from : 20-28-39
Accessing cached results from : 20-29-29
scat_ratio 1, (2 inverted) = 1.899, 1.822
Rratio = 0.011 / 0.003 = 3.943


{'pd1': (1.85, 84.0), 'pd2': (1.27, 86.4)}
Accessing cached results from : 20-30-22
Accessing cached results from : 20-31-20
scat_ratio 1, (2 inverted) = 0.882, 0.857
Rratio = 0.011 / 0.005 = 2.227


{'pd1': (1.85, 84.0), 'pd2': (1.27, 85.6)}
Accessing cached results from : 20-32-12
Accessing cached results from : 20-33-07
scat_ratio 1, (2 inverted) = 0.939, 0.926
Rratio = 0.009 / 0.007 = 1.339


{'pd1': (1.85, 84.0), 'pd2': (1.27, 80.0)}
Accessing cached results from : 20-33-57
Accessing cached results from : 20-34-48
scat_ratio 1, (2 inverted) = 2.196, 2.159
Rratio = 0.011 / 0.003 = 4.031


{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.0)}
Accessing cached results from : 20-35-41
Accessing cached results from : 20-36-35
scat_ratio 1, (2 inverted) = 1.222, 1.172
Rratio = 0.010 / 0.008 = 1.306


{'pd1': (1.85, 84.0), 'pd2': (1.27, 81.6)}
Accessing cached results from : 20-37-26
Accessing cached results from : 20-38-18
scat_ratio 1, (2 inverted) = 1.707, 1.609
Rratio = 0.011 / 0.010 = 1.063


{'pd1': (1.85, 84.0), 'pd2': (1.27, 83.2)}
Accessing cached results from : 20-39-08
Accessing cached results from : 20-39-58
scat_ratio 1, (2 inverted) = 1.292, 1.254
Rratio = 0.010 / 0.010 = 1.092


{'pd1': (1.85, 84.0), 'pd2': (1.27, 88.0)}
Accessing cached results from : 20-40-50
Accessing cached results from : 20-41-42
scat_ratio 1, (2 inverted) = 0.914, 0.330
Rratio = 0.011 / 0.013 = 0.809


{'pd1': (1.85, 84.0), 'pd2': (1.27, 87.2)}
Accessing cached results from : 20-42-28
Accessing cached results from : 20-43-15
scat_ratio 1, (2 inverted) = 0.882, 0.879
Rratio = 0.011 / 0.003 = 3.409


{'pd1': (1.85, 84.0), 'pd2': (1.27, 84.8)}
Accessing cached results from : 20-44-02
Accessing cached results from : 20-44-50
scat_ratio 1, (2 inverted) = 1.045, 1.050
Rratio = 0.012 / 0.009 = 1.322


{'pd1': (1.85, 84.0), 'pd2': (1.56, 82.4)}
Accessing cached results from : 20-45-40
Accessing cached results from : 20-46-29
scat_ratio 1, (2 inverted) = 1.333, 1.295
Rratio = 0.012 / 0.011 = 1.111


{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.8)}
Accessing cached results from : 20-47-19
Accessing cached results from : 20-48-09
scat_ratio 1, (2 inverted) = 1.675, 1.603
Rratio = 0.012 / 0.004 = 2.848


{'pd1': (1.85, 84.0), 'pd2': (1.56, 86.4)}
Accessing cached results from : 20-49-00
Accessing cached results from : 20-49-52
scat_ratio 1, (2 inverted) = 0.861, 0.841
Rratio = 0.012 / 0.006 = 2.133


{'pd1': (1.85, 84.0), 'pd2': (1.56, 85.6)}
Accessing cached results from : 20-50-43
Accessing cached results from : 20-51-33
scat_ratio 1, (2 inverted) = 0.902, 0.359
Rratio = 0.012 / 0.008 = 1.462


{'pd1': (1.85, 84.0), 'pd2': (1.56, 80.0)}
Accessing cached results from : 20-52-23
Accessing cached results from : 20-53-13
scat_ratio 1, (2 inverted) = 1.905, 1.832
Rratio = 0.013 / 0.003 = 4.586


{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.0)}
Accessing cached results from : 20-54-03
Accessing cached results from : 20-54-56
scat_ratio 1, (2 inverted) = 1.081, 1.022
Rratio = 0.012 / 0.011 = 1.119


{'pd1': (1.85, 84.0), 'pd2': (1.56, 81.6)}
Accessing cached results from : 20-55-47
Accessing cached results from : 20-56-40
scat_ratio 1, (2 inverted) = 1.477, 1.428
Rratio = 0.011 / 0.007 = 1.610


{'pd1': (1.85, 84.0), 'pd2': (1.56, 83.2)}
Accessing cached results from : 20-57-31
Accessing cached results from : 20-58-23
scat_ratio 1, (2 inverted) = 1.192, 1.149
Rratio = 0.011 / 0.011 = 1.001


{'pd1': (1.85, 84.0), 'pd2': (1.56, 88.0)}
Accessing cached results from : 20-59-12
Accessing cached results from : 20-59-57
scat_ratio 1, (2 inverted) = 4.087, 0.305
Rratio = 0.011 / 0.000 = 42.296


{'pd1': (1.85, 84.0), 'pd2': (1.56, 87.2)}
Accessing cached results from : 21-00-42
Accessing cached results from : 21-01-27
scat_ratio 1, (2 inverted) = 0.672, 0.792
Rratio = 0.011 / 0.003 = 3.802


{'pd1': (1.85, 84.0), 'pd2': (1.56, 84.8)}
Accessing cached results from : 21-02-12
Accessing cached results from : 21-02-56
scat_ratio 1, (2 inverted) = 0.980, 0.974
Rratio = 0.010 / 0.009 = 1.095


{'pd1': (1.85, 84.0), 'pd2': (1.85, 82.4)}
Accessing cached results from : 21-03-41
Accessing cached results from : 21-04-25
scat_ratio 1, (2 inverted) = 1.229, 1.163
Rratio = 0.011 / 0.009 = 1.162


{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.8)}
Accessing cached results from : 21-05-09
Accessing cached results from : 21-05-53
scat_ratio 1, (2 inverted) = 1.532, 0.903
Rratio = 0.010 / 0.004 = 2.476


{'pd1': (1.85, 84.0), 'pd2': (1.85, 86.4)}
Accessing cached results from : 21-06-37
Accessing cached results from : 21-07-20
scat_ratio 1, (2 inverted) = 0.865, 0.878
Rratio = 0.011 / 0.005 = 2.147


{'pd1': (1.85, 84.0), 'pd2': (1.85, 85.6)}
Accessing cached results from : 21-08-04
Accessing cached results from : 21-08-57
scat_ratio 1, (2 inverted) = 0.913, 0.862
Rratio = 0.010 / 0.008 = 1.356


{'pd1': (1.85, 84.0), 'pd2': (1.85, 80.0)}
Accessing cached results from : 21-09-50
Accessing cached results from : 21-10-43
scat_ratio 1, (2 inverted) = 1.760, 0.904
Rratio = 0.011 / 0.001 = 9.706


{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.0)}
Accessing cached results from : 21-11-36
Accessing cached results from : 21-12-29
scat_ratio 1, (2 inverted) = 1.019, 1.003
Rratio = 0.011 / 0.010 = 1.080


{'pd1': (1.85, 84.0), 'pd2': (1.85, 81.6)}
Accessing cached results from : 21-13-13
Accessing cached results from : 21-13-57
scat_ratio 1, (2 inverted) = 1.345, -0.131
Rratio = 0.011 / 0.008 = 1.386


{'pd1': (1.85, 84.0), 'pd2': (1.85, 83.2)}
Accessing cached results from : 21-14-41
Accessing cached results from : 21-15-24
scat_ratio 1, (2 inverted) = 1.095, 1.065
Rratio = 0.012 / 0.012 = 1.000


{'pd1': (1.85, 84.0), 'pd2': (1.85, 88.0)}
Accessing cached results from : 21-16-08
Accessing cached results from : 21-16-52
scat_ratio 1, (2 inverted) = 15.371, -0.022
Rratio = 0.011 / 0.001 = 12.196


{'pd1': (1.85, 84.0), 'pd2': (1.85, 87.2)}
Accessing cached results from : 21-17-36
Accessing cached results from : 21-18-19
scat_ratio 1, (2 inverted) = 0.917, 0.864
Rratio = 0.012 / 0.004 = 3.060


{'pd1': (1.85, 84.0), 'pd2': (1.85, 84.8)}
Accessing cached results from : 21-19-03
Accessing cached results from : 21-19-47
scat_ratio 1, (2 inverted) = 0.934, 0.930
Rratio = 0.013 / 0.010 = 1.278

<ipython-input-67-ffdbf096cf32>:3: FutureWarning: In a future version of pandas all arguments of DataFrame.pivot will be keyword-only.
  pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					#print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path1)
				fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
	  					'timestamp': timestamp,
						**fit_results
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict = {}
	
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict['scat_ratio1'] = scat_ratio1
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	resultDict['scat_ratio2'] = scat_ratio2
	#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	resultDict['scat_ratio_avg'] = scat_ratio_avg
 
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	resultDict['Rratio'] = Rratio
	#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, resultDict, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=True):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			#dh1.tBaseline = 1
			dh1.tCATbackground = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1

			dh1.setOffset()
			#dh1.tCATbackground = dh1.tReload + dh1.timeReload 
			dh1.tBaseline = dh1.tReload + dh1.timeReload
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=False)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

import seaborn as sns
scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')
pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')
sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()

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<ipython-input-69-ffdbf096cf32>:3: FutureWarning: In a future version of pandas all arguments of DataFrame.pivot will be keyword-only.
  pivot_table = scat_df.pivot('pa2', 'pd2', 'depth_ratio')

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sns.heatmap(pivot_table, annot=True, fmt='.2f', cmap='magma')
plt.grid()

scat_df[scat_df['depth_ratio'].isna()]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
12	1.85	84.0	0.690	80.8	NaN	1900-01-01 18:16:49	2.957568	0.372832	2.819870	-18.151483
63	1.85	84.0	0.835	88.0	NaN	1900-01-01 19:47:08	0.924823	0.953473	0.986810	-9.977041
74	1.85	84.0	1.415	88.0	NaN	1900-01-01 20:06:28	1.581415	1.751459	1.076184	-79.685872

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------


def get_rel_scattering_df(data_folder):
	depth_ratios_df = []
	listdir = sorted(os.listdir(data_folder))
	try:
		for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					#print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path1)
				fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
	  					'timestamp': timestamp,
						**fit_results
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict = {}
	
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict['scat_ratio1'] = scat_ratio1
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	resultDict['scat_ratio2'] = 1/scat_ratio2
	#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	resultDict['scat_ratio_avg'] = scat_ratio_avg
 
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	resultDict['Rratio'] = Rratio
	#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, resultDict, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			#dh1.tBaseline = 1
			dh1.tCATbackground = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1

			dh1.setOffset()
			#dh1.tCATbackground = dh1.tReload + dh1.timeReload 
			dh1.tBaseline = dh1.tReload + dh1.timeReload
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=True)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

scat_df = get_rel_scattering_df(r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate\TrapDepthMap')

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

<ipython-input-75-5573a15fdb22>:529: RuntimeWarning: invalid value encountered in sqrt
  depthRatio = np.sqrt(Rratio/scat_ratio_avg)
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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
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FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

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File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG
File loaded: RFmin = 49 MHz, t_mt = 1.050 s.
FITTINGGGGGGGGGGGG

100%|██████████| 121/121 [17:15<00:00,  8.56s/it]

scat_df[scat_df['depth_ratio'].isna()]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
12	1.85	84.0	0.690	80.8	NaN	1900-01-01 18:16:49	2.957568	2.682171	2.819870	-18.151483
63	1.85	84.0	0.835	88.0	NaN	1900-01-01 19:47:08	0.924823	1.048797	0.986810	-9.977041
74	1.85	84.0	1.415	88.0	NaN	1900-01-01 20:06:28	1.581415	0.570952	1.076184	-79.685872

scat_df[scat_df['depth_ratio']<0.3]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
8	1.85	84.0	1.125	88.0	0.145580	1900-01-01 18:09:42	0.950028	0.230033	0.590030	27.840249
19	1.85	84.0	0.690	88.0	0.280564	1900-01-01 18:29:14	0.947641	1.006793	0.977217	12.414471
41	1.85	84.0	0.400	88.0	0.252895	1900-01-01 19:07:58	1.065684	1.104443	1.085063	16.965781
85	1.85	84.0	0.545	88.0	0.243643	1900-01-01 20:22:32	0.963920	1.043803	1.003861	16.910930
107	1.85	84.0	1.560	88.0	0.227863	1900-01-01 20:59:12	4.086833	0.305328	2.196081	42.296172

plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'])

[<matplotlib.lines.Line2D at 0x1b0fa124e50>]

plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], '-o')

[<matplotlib.lines.Line2D at 0x1b0fa3a4e50>]

plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], '-o')
plt.ylim(0,1)

(0.0, 1.0)

plt.plot(scat_df['scat_ratio1'], scat_df['scat_ratio2'], 'o')
plt.ylim(0,1)

(0.0, 1.0)

scat_df.head(10)

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
0	1.85	84.0	1.125	82.4	1.060105	1900-01-01 17:56:41	1.651707	1.621480	1.636594	1.456274
1	1.85	84.0	1.125	80.8	0.834277	1900-01-01 17:58:10	2.085987	2.014917	2.050452	2.945972
2	1.85	84.0	1.125	86.4	0.607973	1900-01-01 17:59:38	0.913230	0.914242	0.913736	2.472021
3	1.85	84.0	1.125	85.6	0.728236	1900-01-01 18:01:06	0.981404	0.958251	0.969827	1.828735
4	1.85	84.0	1.125	80.0	0.566797	1900-01-01 18:02:39	2.408469	2.327947	2.368208	7.371643
5	1.85	84.0	1.125	84.0	0.939389	1900-01-01 18:04:24	1.294236	1.238496	1.266366	1.435053
6	1.85	84.0	1.125	81.6	0.777422	1900-01-01 18:06:11	1.871894	1.779275	1.825585	3.020563
7	1.85	84.0	1.125	83.2	1.066557	1900-01-01 18:07:59	1.400588	1.371377	1.385982	1.218399
8	1.85	84.0	1.125	88.0	0.145580	1900-01-01 18:09:42	0.950028	0.230033	0.590030	27.840249
9	1.85	84.0	1.125	87.2	0.503780	1900-01-01 18:11:29	0.880922	0.884991	0.882956	3.479020

scat_df.tail(10)

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
111	1.85	84.0	1.85	80.8	0.701278	1900-01-01 21:05:09	1.532028	0.903196	1.217612	2.475871
112	1.85	84.0	1.85	86.4	0.637039	1900-01-01 21:06:37	0.865055	0.877758	0.871406	2.147282
113	1.85	84.0	1.85	85.6	0.809052	1900-01-01 21:08:04	0.913318	0.862315	0.887817	1.356345
114	1.85	84.0	1.85	80.0	0.370453	1900-01-01 21:09:50	1.760017	0.904101	1.332059	9.706361
115	1.85	84.0	1.85	84.0	0.967908	1900-01-01 21:11:36	1.019432	1.003478	1.011455	1.079639
116	1.85	84.0	1.85	81.6	0.661591	1900-01-01 21:13:13	1.344940	-0.131274	0.606833	1.386405
117	1.85	84.0	1.85	83.2	1.039424	1900-01-01 21:14:41	1.094836	1.065198	1.080017	0.999644
118	1.85	84.0	1.85	88.0	0.793274	1900-01-01 21:16:08	15.370847	-0.021756	7.674545	12.195684
119	1.85	84.0	1.85	87.2	0.539399	1900-01-01 21:17:36	0.916980	0.863904	0.890442	3.060445
120	1.85	84.0	1.85	84.8	0.854043	1900-01-01 21:19:03	0.934381	0.929620	0.932000	1.277782

scat_df[scat_df['pd2'] = 88.0]

  Cell In[85], line 1
    scat_df[scat_df['pd2'] = 88.0]
            ^
SyntaxError: cannot assign to subscript here. Maybe you meant '==' instead of '='?

scat_df[scat_df['pd2'] == 88.0]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
8	1.85	84.0	1.125	88.0	0.145580	1900-01-01 18:09:42	0.950028	0.230033	0.590030	27.840249
19	1.85	84.0	0.690	88.0	0.280564	1900-01-01 18:29:14	0.947641	1.006793	0.977217	12.414471
30	1.85	84.0	1.705	88.0	0.548962	1900-01-01 18:48:12	1.031905	-41.445694	-20.206895	-67.052444
41	1.85	84.0	0.400	88.0	0.252895	1900-01-01 19:07:58	1.065684	1.104443	1.085063	16.965781
52	1.85	84.0	0.980	88.0	0.340896	1900-01-01 19:27:24	0.936462	1.068601	1.002531	8.626903
63	1.85	84.0	0.835	88.0	NaN	1900-01-01 19:47:08	0.924823	1.048797	0.986810	-9.977041
74	1.85	84.0	1.415	88.0	NaN	1900-01-01 20:06:28	1.581415	0.570952	1.076184	-79.685872
85	1.85	84.0	0.545	88.0	0.243643	1900-01-01 20:22:32	0.963920	1.043803	1.003861	16.910930
96	1.85	84.0	1.270	88.0	0.877267	1900-01-01 20:40:50	0.914396	0.330400	0.622398	0.808731
107	1.85	84.0	1.560	88.0	0.227863	1900-01-01 20:59:12	4.086833	0.305328	2.196081	42.296172
118	1.85	84.0	1.850	88.0	0.793274	1900-01-01 21:16:08	15.370847	-0.021756	7.674545	12.195684

scat_df[scat_df['pd2'] < 88.0]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
0	1.85	84.0	1.125	82.4	1.060105	1900-01-01 17:56:41	1.651707	1.621480	1.636594	1.456274
1	1.85	84.0	1.125	80.8	0.834277	1900-01-01 17:58:10	2.085987	2.014917	2.050452	2.945972
2	1.85	84.0	1.125	86.4	0.607973	1900-01-01 17:59:38	0.913230	0.914242	0.913736	2.472021
3	1.85	84.0	1.125	85.6	0.728236	1900-01-01 18:01:06	0.981404	0.958251	0.969827	1.828735
4	1.85	84.0	1.125	80.0	0.566797	1900-01-01 18:02:39	2.408469	2.327947	2.368208	7.371643
...	...	...	...	...	...	...	...	...	...	...
115	1.85	84.0	1.850	84.0	0.967908	1900-01-01 21:11:36	1.019432	1.003478	1.011455	1.079639
116	1.85	84.0	1.850	81.6	0.661591	1900-01-01 21:13:13	1.344940	-0.131274	0.606833	1.386405
117	1.85	84.0	1.850	83.2	1.039424	1900-01-01 21:14:41	1.094836	1.065198	1.080017	0.999644
119	1.85	84.0	1.850	87.2	0.539399	1900-01-01 21:17:36	0.916980	0.863904	0.890442	3.060445
120	1.85	84.0	1.850	84.8	0.854043	1900-01-01 21:19:03	0.934381	0.929620	0.932000	1.277782

110 rows × 10 columns

scat_df[scat_df['pd2'] == 81.6]

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
6	1.85	84.0	1.125	81.6	0.777422	1900-01-01 18:06:11	1.871894	1.779275	1.825585	3.020563
17	1.85	84.0	0.690	81.6	0.467613	1900-01-01 18:25:41	2.601037	2.552349	2.576693	11.783930
28	1.85	84.0	1.705	81.6	1.217380	1900-01-01 18:44:38	1.418993	1.343861	1.381427	0.932129
39	1.85	84.0	0.400	81.6	0.636457	1900-01-01 19:04:25	4.012403	3.708037	3.860220	9.529576
50	1.85	84.0	0.980	81.6	1.049111	1900-01-01 19:23:58	2.136278	1.904376	2.020327	1.835601
61	1.85	84.0	0.835	81.6	1.052341	1900-01-01 19:43:34	2.295847	2.162626	2.229236	2.012995
72	1.85	84.0	1.415	81.6	0.878307	1900-01-01 20:03:16	1.576514	1.502483	1.539499	1.995660
83	1.85	84.0	0.545	81.6	0.815092	1900-01-01 20:19:35	2.968036	2.746715	2.857376	4.300845
94	1.85	84.0	1.270	81.6	1.248490	1900-01-01 20:37:26	1.706670	1.608603	1.657636	1.063454
105	1.85	84.0	1.560	81.6	0.949846	1900-01-01 20:55:47	1.476523	1.427885	1.452204	1.609611
116	1.85	84.0	1.850	81.6	0.661591	1900-01-01 21:13:13	1.344940	-0.131274	0.606833	1.386405

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------

def get_rel_scattering_row(run_path_couple):
	run_path1, run_path2 = run_path_couple
	# run_path1 = os.path.join(data_folder, run_folder1)
	# run_path2 = os.path.join(data_folder, run_folder2)
	result = {}
	with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
		settings = f.read() 
		import re

		pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

		matches = re.findall(pattern, settings)

		
		for match in matches:
			key = match[0]
			value1 = float(match[1])
			value2 = float(match[2])
			result[key] = (value1, value2)

		#print(result)
	with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
		pass
	
	timestamp = get_timestamp(run_path1)
	fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
	
	extracted_values = {
			'pa1': result['pd1'][0],
			'pd1': result['pd1'][1],
			'pa2': result['pd2'][0],
			'pd2': result['pd2'][1],
			'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
			'timestamp': timestamp,
			**fit_results
		}
	return extracted_values
 
def get_rel_scattering_df(data_folder, parallel=False, **kwargs):
	
	listdir = sorted(os.listdir(data_folder))
	run_path_couple_arr = [[os.path.join(data_folder,run_folder1),os.path.join(data_folder,run_folder2)] in [listdir[i:i+2] for i in range(len(listdir))[::2]]]
	 
 
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_rel_scattering_row, **kwargs), run_path_couple_arr), total=len(run_path_couple_arr)))
	
	try:
		for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					#print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path1)
				fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
	  					'timestamp': timestamp,
						**fit_results
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict = {}
	
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict['scat_ratio1'] = scat_ratio1
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	resultDict['scat_ratio2'] = 1/scat_ratio2
	#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	#scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
 	scat_ratio_avg = scat_ratio1
	resultDict['scat_ratio_avg'] = scat_ratio_avg
 
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	resultDict['Rratio'] = Rratio
	#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, resultDict, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			#dh1.tBaseline = 1
			dh1.tCATbackground = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1

			dh1.setOffset()
			#dh1.tCATbackground = dh1.tReload + dh1.timeReload 
			dh1.tBaseline = dh1.tReload + dh1.timeReload
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=True)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

  Cell In[89], line 568
    scat_ratio_avg = scat_ratio1
    ^
TabError: inconsistent use of tabs and spaces in indentation

import os
import sys
from functools import partial
sys.path.append(os.path.join(os.getcwd(), '..')) #adds directory below as valid path
from  datetime import datetime, timedelta
dateformat = "%H-%M-%S"
from collections import deque
import traceback
from multiprocessing import Pool
from tqdm import tqdm

import scipy.constants as spc
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

plt.rcParams['axes.grid'] = True
plt.rcParams['grid.linestyle'] = '--'

from MT_class_PID_new import MTdataHost
from global_folder.myplotsty import *
from global_folder.my_helpers import *

PUMP_FREQUENCY = 384228.6
REPUMP_FREQUENCY = 384228.6 + 6.56
SAMPLE_RATE = 2000
FREQVSVOLT = 221.0 
FREQVSCURR = 1.13

# TODO: find a better place for this
EXP_FOLDER =r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements'
MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun16')
WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun16.csv')

# TODO: maybe make a run analysis class out of this?
def dump():
	fig, ax = plt.subplots()
	plot_results(ax, df, max_freq= 384219., fmt='o', mfc='red', save_folder=MEASURE_FOLDER)
	plt.savefig(os.path.join(MEASURE_FOLDER, 'ratio_vs_freq.png'))

	
	collect_plots(MEASURE_FOLDER, os.path.join(MEASURE_FOLDER, 'collected_plots'), 'deloadPhase.png')
 
	#*-----------------------
	#* SINGLE RUN
 	#*----------------------- 
  
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun9')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)
	#freqs = plot_results(df, 384201., save_folder=MEASURE_FOLDER)
 
	data = df.dropna()
	freqs = ((384201-PUMP_FREQUENCY)-(data['tempV']-df['tempV'].min())*FREQVSVOLT- (data['currV']-df['currV'].min())*FREQVSCURR)
	fig, ax = plt.subplots()
	plot_spline_fit(ax=ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'], 
				 s=0.1, save_folder=MEASURE_FOLDER, 
				 mfc='red', color='black', 
				 title='Trap Depth = 1.99 K')
 
	# *-----------------------
	# * MULTIPLE RUN COMPARISON
 	# *-----------------------
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPARun11', 'testPARun12', 'testPARun13', 'testPARun14']]
	dfs = [get_data_frame(measure_folder, cache_all=True) for measure_folder in folders]

	colors = ['red', 'dodgerblue', 'green', 'grey']
	max_freqs = [384178.881, 384178.593,384179.068, 384184.731]
	#max_freqs=[384178.599, 384179.091, 384184.733]

	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:3]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		color = colors[i]
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], scolor=color, mfc=color,color=color, s=0.02, ms=5)

	#*-----------------------
	#* PARSING WAVEMETER DATA
 	#*-----------------------

	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPArun14')
	WDATA_FOLDER =os.path.join(MEASURE_FOLDER, 'testPArun14.csv')
	freq_data, max_freq, min_freq = add_wavemeter_data('', WDATA_FOLDER)
	data = freq_data[:]
	levels = staircase_fit(data)

	data = get_data_frame(MEASURE_FOLDER)
	data.dropna(inplace=True)
	freqs = ((max_freq)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
	plt.plot(freqs)
 
	#*-----------------------
	#* GETTING DEPTH_RATIO DATAFRAME
 	#*-----------------------
	MEASURE_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\relScatRate'
	depth_ratios_df = get_rel_scattering_df(MEASURE_FOLDER)
	df_slice = depth_ratios_df[(depth_ratios_df['pa1']==1.85) & (depth_ratios_df['pd1']==84) & (depth_ratios_df['pd2'] == 84)]
	x = df_slice['pa2']
	y = df_slice['depth_ratio']
	plt.plot(x,y, 'o')

	#*-----------------------
	#* MEGA_RUN
 	#*-----------------------	
	MEASURE_FOLDER = os.path.join(EXP_FOLDER, 'testPARunMega')
	df = get_data_frame(MEASURE_FOLDER)
	df.dropna(inplace=True)

	df_grouped = df.groupby(by='pump_reference')
	min_ratios = df_grouped['ratio'].min()

	groups = dict(list(df_grouped))
	dfs = [df for df in groups.values()]
 
	max_freqs = [384182.5]*15
	#max_freqs=[384178.599, 384179.091, 384184.733]
	zipped_data = list(zip(dfs, max_freqs))
	fig, ax = plt.subplots()
	for i, (df, max_freq)  in enumerate(zipped_data[:]):
		data = df.dropna()
		freqs = ((max_freq-PUMP_FREQUENCY)-(data['tempV']-data['tempV'].min())*FREQVSVOLT- (data['currV']-data['currV'].min())*FREQVSCURR)
		ax=plot_spline_fit(ax, x=freqs, y=data['ratio'], yerr=data['ratioErr'],scolor=f'C{i}', mfc=f'C{i}',color=f'C{i}', s=0.0, ms=5, figsize=(10, 10), label=f"Pump Amplituide = { df.iloc[10]['pump_reference'] :.2f}", linewidth=2.5)

	plt.legend()

	plt.savefig(os.path.join(MEASURE_FOLDER, 'lossFeatures.png'))
	#*-----------------------
	#* MULTIPLE MEGARUN
	#*-----------------------
 
	folders = [os.path.join(EXP_FOLDER, path ) for path in ['testPArunMega', 'testPArunMega2']]
	dfs_mega = [get_data_frame(measure_folder, cache_all=True).dropna() for measure_folder in folders]

	dfs_grouped = [df_mega.groupby(by='pump_reference') for df_mega in dfs_mega]
	min_ratios = [df_grouped['ratio'].min() for df_grouped in dfs_grouped]

	groupss = [dict(list(df_grouped)) for df_grouped in dfs_grouped]
	dfs = [ [df for df in groups.values()] for groups in groupss]
 
	for row in dfs:
		x = [df['pump_reference'].mean() for df in row]
		y = [(df['ratio'].max() - df['ratio'].min())/df['motSS'].std() for df in row]
		plt.plot( x, y ,'-o', label=fr"$\delta$ = {180 - 2*row[0]['pump_AOM_freq'].mean()} MHz")
		plt.xlabel('Pump Amplitude')
		plt.ylabel(r'SNR $ = \frac{V_{ss, off} - V_{ss, on}}{\sigma_{V,off}}$ ')
	plt.legend()

def freq_misc():
	WDATA_FOLDER = r'C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\CATcurrTestrun3.csv'
	freq_data = add_wavemeter_data('', WDATA_FOLDER)
	levels = staircase_fit(freq_data[0], peak_height=0.2, distance=50, data_offset=1, window_size=1) 

	plt.close()
 
	x = np.linspace(0, 4.9, 25)
	y = levels
 
	plt.plot(levels, '-o')
	plt.title('Levels plot')
	
	m, b, fit_line = my_linear_fit(x, y)
def save_fit_results(run_path, plot=False):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dataHost = MTdataHost(SAMPLE_RATE)
	dataHost.loadCATdata(fileName=filename, settingsName=settingsname)
	dataHost.CATbackgroundData(bkfilename)
	
	dataHost.setAllCAT(0.002)
	resultDict = dataHost.getResults(run_path, store=True)
 
	if plot:
		dataHost.storeFits(run_path, combined=True, separate=True)
  
	return resultDict, dataHost.settings
		
def get_timestamp(run_path):
	timestamp = datetime.strptime(os.path.split(run_path)[-1].split('_')[0], dateformat)
	return timestamp

def extract_fit(run_path, plot=True, cache_failed=True, cache_all=True):
	"""Gather relevant data from each measurement run

	Args:
		run_path : absolute path to the run directory
		plot (bool, optional): plot fits. Defaults to True.
		cache_failed (bool, optional): Cache failed fits. If false, refit. Doesn't refit non-failed fits. Defaults to True.
		cache_all (bool, optional): If false, ignore any cached fit_results. Defaults to True.

	Returns:
		a 3-tuple (fit_results, settings, timestamp)
	"""
	fit_results, settings, timestamp = {}, {}, None
	
	if not os.path.isdir(run_path):
		return fit_results, settings, timestamp  # directory is not a run directory

	try:
		timestamp = get_timestamp(run_path)
  
  	# TODO: specify which error to catch
	except Exception as e:
		print("Error extracting timestamp from: ", run_path)
		print(traceback.format_exc())
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
 
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			fit_results, settings = save_fit_results(run_path, plot=plot)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))
  
		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			if not cache_failed:
				# fit regardless of cached result
				try: 
					fit_results, settings = save_fit_results(run_path, plot=plot)
				except Exception as e:
					print(traceback.format_exc())
					print("Fitting ERROR at ", os.path.basename(run_path), '\n')
	
					with open(MAT_fit_cache_path, 'w') as f:
						f.write(str('MAT fit failed'))	
			else:
				print("Failed fit at :", os.path.basename(run_path))
				fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())
   
			settingsname = os.path.join(run_path, 'Settings.txt')
			settings = eval(open(settingsname, 'r').read())
   
	return fit_results, settings, timestamp



def get_row(run_path, **kwargs):
			
   fit_results, settings, timestamp = extract_fit(run_path, **kwargs)
   row = {**fit_results, **settings, **{'timestamp':timestamp}}
   
   return row

   
def get_data_frame(data_dir, parallel=True, in_process_run=False, **kwargs):
   
	run_path_arr = []
	rows = []
	
	for relative_path in os.listdir(data_dir):
		run_path_arr.append(os.path.join(data_dir, relative_path))
  
	if in_process_run:
		run_path_arr.pop()

	run_path_arr = sorted(run_path_arr)
	
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_row, **kwargs), run_path_arr), total=len(run_path_arr)))
	
	else:
		for run_path in tqdm(run_path_arr):
		   rows.append(get_row(run_path, **kwargs))

	return pd.DataFrame.from_dict(rows)

def add_wavemeter_data(df, wmeter_csv_path, window_size=100, num_rows=50):


	"""Extract unique frequnecy values from wavemeter data
	Returns:
		unique_levels (list): unique frequency values in wavemeter data
	"""
 
	# TODO: modify dataframe in place with frequency data
 
	wdata = pd.read_csv(wmeter_csv_path, skiprows=2)
	wdata.dropna(inplace=True)
	freq_data = np.array(wdata.iloc[:, 0])
	try:
		freq_data = np.array([float(item) for item in freq_data if item.replace('.','').isdigit()])
	except Exception as e:
		print(e)
 
	max_freq = freq_data.max()
	min_freq = freq_data.min()

	return freq_data, max_freq, min_freq

def plot_results(ax, dfs, max_freq, min_freq=0.0, mfc='red', fmt='o', ms=5, save_folder=False, xscale=1.0, yscale=1.0, **kwargs):
	FREQVSVOLT = 221.0 
	FREQVSCURR = 1.13
	
	if not type(dfs) == list:
		freqs = ((max_freq-PUMP_FREQUENCY)-(dfs.dropna()['tempV']-dfs.dropna()['tempV'].min())*FREQVSVOLT- (dfs.dropna()['currV']-dfs.dropna()['currV'].min())*FREQVSCURR)*xscale
		dfs=[dfs]
  
	plt.gcf().set_dpi(300)
	
	for df in dfs:
		df = df.dropna()
		ax.errorbar(freqs, 
			   df['ratio']*yscale,
			   yerr=df['ratioErr'],
			   fmt=fmt, mfc=mfc, color='black', ms=ms, **kwargs)
		ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
		ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
	
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'ratio_vs_freq.png'))
	
	return freqs, ax
  
	#return plt.gca(), plt.gcf()
	#plt.show()

def plot_spline_fit(ax, x, y, s=1, yerr=None, color='black', scolor='black',figsize=(12,5), save_folder=None, title='',alpha=0.5,dpi=200, label='plot',**kwargs):
	from scipy.interpolate import splev, splrep
	xnew = np.linspace(min(x), max(x), 3*len(x) )

	y = [b for a,b in sorted(zip(x,y), key=lambda pair: pair[0])]
	if yerr is not None:
		yerr = [b for a,b in sorted(zip(x,yerr), key=lambda pair: pair[0])]
 
	x = sorted(x)

	spl = splrep(x, y, s=s)
	ynew = splev(xnew, spl)

	
	plt.gcf().set_dpi(dpi)
	plt.gcf().set_size_inches(figsize)
	
	if yerr is not None:
		ax.errorbar(x, y, yerr=yerr, fmt='o', **kwargs)
	else:
		ax.plot(x,y, 'o', **kwargs)
	ax.plot(xnew, ynew, '-', color=scolor, alpha=alpha, label=label, **kwargs)
 
	ax.set_ylabel(r'$\mathbf{\frac{V_{ss, cat}}{V_{ss}}} $ ', **labeldict)
	ax.set_xlabel(r'$\Delta $ (GHz)', **labeldict)
 
	ax.set_title(title, **titledict)
	if save_folder:
		plt.savefig(os.path.join(save_folder, 'spline_ratio_vs_freq.png'))
	
	return ax
 
def plot_polyfit(x_data, y_data, spline_degree):
	
	coefficients = np.polyfit(x_data, y_data, spline_degree)

	x_interp = np.linspace(min(x_data), max(x_data), 100)
	y_interp = np.polyval(coefficients, x_interp)

	plt.scatter(x_data, y_data, label='Original Data')
	plt.plot(x_interp, y_interp, label='Polynomial Interpolation (Degree={})'.format(spline_degree))

def collect_plots(source, destination, plot_name):
	print(f'Collecting plots from {os.path.basename(source)}')
	import shutil

	os.makedirs(destination, exist_ok=True)

	plot_files = []
	for root, dirs, files in os.walk(source):
		
		for file in files:
			if file == plot_name:
				plot_files.append(os.path.join(root, file))

	for i, plot_file in enumerate(plot_files, start=0):
		new_filename = f'{i}{plot_name}'
		destination_path = os.path.join(destination, new_filename)
		shutil.copy(plot_file, destination_path)

def create_GIF(images_folder, image_name):
	import imageio
	with imageio.get_writer(os.path.join(images_folder, f'{image_name}movie.gif'), mode='I', duration=0.5) as writer:
		for filename in os.listdir(images_folder):
			if image_name in filename:
				image = imageio.imread(os.path.join(images_folder, filename))
				writer.append_data(image)

def staircase_fit(data, peak_height=0.1, distance=100, data_offset=1, window_size=1, inc_final_peak=True):
	def moving_average(arr, window_size):
		weights = np.ones(window_size) / window_size
		return np.convolve(arr, weights, mode='valid')

	convdata1 = moving_average(data, window_size)
	convdata2 = moving_average(data[data_offset+1:], window_size )
	final = convdata1[:len(convdata2)]-convdata2
	# plt.plot(data)
	# plt.plot(convdata1)
	# plt.plot(convdata2)
	# plt.show()
	# plt.plot(final)

	
	from scipy.signal import find_peaks
	x= final
	peaks, _ = find_peaks(x, height=peak_height, distance=distance)
	peaks = np.insert(peaks, 0, 0)
	levels = []
	plot_arr = []
	for i, peak in enumerate(peaks):
		
		if i < len(peaks) - 1:
			temp = data[ peaks[i]:peaks[i+1] ]
			plot_arr.extend( np.ones_like(temp)*np.mean(temp))
			levels.append(np.mean(temp))
	if inc_final_peak:
		temp = data[peaks[-1]:]
		levels.append(np.mean(temp))
		plot_arr.extend( np.ones_like(temp)*np.mean(temp))
  
	plt.plot(x)
	plt.plot(peaks, x[peaks], "x")
	plt.plot(np.zeros_like(x), "--", color="gray")
	plt.show()
	
	plt.plot(data)
	plt.plot(np.ravel((plot_arr)))
	plt.show()
	plt.close()
	plt.plot(np.array(levels)[np.where(abs(np.diff(levels))>0.05)[0]], 'o', ms=5)
 
	return levels

def load_single_run(run_path):
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
	return dh1
	# *-----------------------
	# *RELATIVE SCATTERING RATE
	# *-----------------------

def get_rel_scattering_row(run_path_couple):
	run_path1, run_path2 = run_path_couple
	# run_path1 = os.path.join(data_folder, run_folder1)
	# run_path2 = os.path.join(data_folder, run_folder2)
	result = {}
	with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
		settings = f.read() 
		import re

		pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

		matches = re.findall(pattern, settings)

		
		for match in matches:
			key = match[0]
			value1 = float(match[1])
			value2 = float(match[2])
			result[key] = (value1, value2)

		#print(result)
	with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
		pass
	
	timestamp = get_timestamp(run_path1)
	fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
	
	extracted_values = {
			'pa1': result['pd1'][0],
			'pd1': result['pd1'][1],
			'pa2': result['pd2'][0],
			'pd2': result['pd2'][1],
			'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
			'timestamp': timestamp,
			**fit_results
		}
	return extracted_values
 
def get_rel_scattering_df(data_folder, parallel=False, **kwargs):
	
	listdir = sorted(os.listdir(data_folder))
	run_path_couple_arr = [[os.path.join(data_folder,run_folder1),os.path.join(data_folder,run_folder2)] in [listdir[i:i+2] for i in range(len(listdir))[::2]]]
	 
 
	if parallel:
		with Pool(4) as p:
			rows = list(tqdm(p.imap(partial(get_rel_scattering_row, **kwargs), run_path_couple_arr), total=len(run_path_couple_arr)))
	
	try:
		for run_folder1, run_folder2 in tqdm([listdir[i:i+2] for i in range(len(listdir))[::2]]):
			try:
				run_path1 = os.path.join(data_folder, run_folder1)
				run_path2 = os.path.join(data_folder, run_folder2)
				result = {}
				with open(os.path.join(run_path1, 'twoSettings.txt'), 'r') as f:
					settings = f.read() 
					import re

					pattern = r'(\w+)\s*=\s*\(([\d.]+),\s*([\d.]+)\)'

					matches = re.findall(pattern, settings)

					
					for match in matches:
						key = match[0]
						value1 = float(match[1])
						value2 = float(match[2])
						result[key] = (value1, value2)

					#print(result)
				with open(os.path.join(run_path2, 'twoSettings.txt'), 'r') as f:
					pass
					#print(f.readlines())
				
				timestamp = get_timestamp(run_path1)
				fit_results1, fit_results2, fit_results, depth_ratio = get_rel_scattering(run_path1, run_path2)
				
				extracted_values = {
						'pa1': result['pd1'][0],
						'pd1': result['pd1'][1],
						'pa2': result['pd2'][0],
						'pd2': result['pd2'][1],
						'depth_ratio': 1/float(depth_ratio), # ratio between current and std settings
	  					'timestamp': timestamp,
						**fit_results
					}
				depth_ratios_df.append(extracted_values)
				
				print('\n')
			except Exception as e:
					print(traceback.format_exc())
					print(f'Error {e} at {run_folder1, run_folder2}')
	except Exception as e:
		print(f'Error {e}')

	depth_ratios_df = pd.DataFrame(depth_ratios_df)
 
	return depth_ratios_df

def get_rel_scattering(run_path1, run_path2):
	resultDict = {}
	
	resultDict1, scat_ratio1 = _load_single_run_rel_scat(run_path1, plot=True)
	resultDict['scat_ratio1'] = scat_ratio1
	resultDict2, scat_ratio2 = _load_single_run_rel_scat(run_path2, plot=True)
	resultDict['scat_ratio2'] = 1/scat_ratio2
	#print(f"scat_ratio 1, (2 inverted) = {scat_ratio1:.3f}, {1/scat_ratio2:.3f}")
	#scat_ratio_avg = (scat_ratio1+1/scat_ratio2)/2
	scat_ratio_avg = scat_ratio1
	resultDict['scat_ratio_avg'] = scat_ratio_avg
 
	Rratio = resultDict1['initMOTR']/resultDict2['initMOTR']
	resultDict['Rratio'] = Rratio
	#print(fr"Rratio = {resultDict1['initMOTR']:.3f} / {resultDict2['initMOTR']:.3f} = {Rratio:.3f}")
	depthRatio = np.sqrt(Rratio/scat_ratio_avg)
	
	return resultDict1, resultDict2, resultDict, depthRatio


def _load_single_run_rel_scat(run_path, plot=False, cache_all=False):
	filename = os.path.join(run_path, 'data.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	MAT_fit_cache_path = os.path.join(run_path, 'resultDict.txt')
	fit_results = {}
	if not os.path.exists(MAT_fit_cache_path) or not cache_all:
		
		try: 
			dh1 = MTdataHost(SAMPLE_RATE)
			dh1.loadCATdata(fileName=filename, settingsName=settingsname)

			#dh1.tBaseline = 1
			dh1.tCATbackground = 1
			dh1.tLoad = 2
			dh1.timeLoad = 30
			dh1.tReload = dh1.tLoad + dh1.timeLoad
			dh1.timeReload = 1

			dh1.setOffset()
			#dh1.tCATbackground = dh1.tReload + dh1.timeReload 
			dh1.tBaseline = dh1.tReload + dh1.timeReload
			#dh1.setCATtiming()
			dh1.setAllCAT(0.002)

			print('FITTINGGGGGGGGGGGG')
			fit_results = dh1.getResults(run_path, store=True)
			if plot:
				dh1.storeFits(run_path, combined=True, separate=True)
		except Exception as e:
			print(traceback.format_exc())
			print("Fitting ERROR at ", os.path.basename(run_path), '\n')

			with open(MAT_fit_cache_path, 'w') as f:
				f.write(str('MAT fit failed'))
		
	else:
		print("Accessing cached results from :", os.path.basename(run_path))

		fit_results = open(MAT_fit_cache_path, 'r').read()

		if fit_results == 'MAT fit failed':
			print("Failed fit at :", os.path.basename(run_path))
			fit_results = {}

		else:
			fit_results = eval(open(MAT_fit_cache_path, 'r').read())


	
	#scat_ratio = fit_results['motSS']/(fit_results['reloadVolt']+fit_results['baseVolt'] - (fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))
	scat_ratio = (fit_results['motSS']+fit_results['baseVolt']-(fit_results['CATbackgroundVolt']+fit_results['noLightBackground']))/(fit_results['reloadVolt'])
	fit_results['scat_ratio'] = scat_ratio
 	#scat_ratio = dh1.motSS/(dh1.reloadVolt+dh1.baseVolt - (dh1.CATbackgroundVolt+dh1.noLightBackground))
	
	return fit_results, scat_ratio

def scat_rate(I, delta, gamma=6.065, Is=1.669):
	"""_summary_

	Args:
		I (float): intensity (Mhz)
		delta (float): detuning (Mhz)
		gamma (float, optional): linewidth (Mhz) Defaults to 6.065.
		Is (float, optional): Should be one of 3.576(isotropic), 2.503(pi), 1.669 (sigma+-). Defaults to 1.669.

	Returns:
		_type_: gamma: the scattering rate
	"""
	return gamma*I/(2*Is*(1+I/Is+4*(delta/gamma)**2))

if __name__ == '__main__':
	run_path = r"C:\Users\svars\OneDrive\Desktop\UBC Lab\CATExperiment\CATMeasurements\testPArun9\16-53-10"
	filename = os.path.join(run_path, 'data.csv')
	bkfilename = os.path.join(run_path, 'data_oldPD.csv')
	settingsname = os.path.join(run_path, 'Settings.txt')
	
	dh1 = MTdataHost(SAMPLE_RATE)
	dh1.loadCATdata(fileName=filename, settingsName=settingsname)
	
 	#dh1.CATbackgroundData(bkfilename)
	dh1.setAllCAT(0.002)

File loaded: RFmin = 49 MHz, t_mt = 1.050 s.

scat_df['pd2'].unique()

array([82.4, 80.8, 86.4, 85.6, 80. , 84. , 81.6, 83.2, 88. , 87.2, 84.8])

scat_df[scat_df['pd2'] == 87.2].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
42	1.85	84.0	0.400	87.2	0.347353	1900-01-01 19:09:45	1.174920	1.171009	1.172965	9.721695
86	1.85	84.0	0.545	87.2	0.442833	1900-01-01 20:24:04	1.019451	1.044619	1.032035	5.262776
20	1.85	84.0	0.690	87.2	0.427939	1900-01-01 18:30:58	0.963702	0.977641	0.970672	5.300407
64	1.85	84.0	0.835	87.2	0.438320	1900-01-01 19:48:55	0.915368	0.916960	0.916164	4.768597
53	1.85	84.0	0.980	87.2	0.460413	1900-01-01 19:29:10	0.895090	0.895015	0.895053	4.222342
9	1.85	84.0	1.125	87.2	0.503780	1900-01-01 18:11:29	0.880922	0.884991	0.882956	3.479020
97	1.85	84.0	1.270	87.2	0.508204	1900-01-01 20:42:28	0.881955	0.878685	0.880320	3.408510
75	1.85	84.0	1.415	87.2	0.447452	1900-01-01 20:07:55	0.525650	0.897981	0.711815	3.555288
108	1.85	84.0	1.560	87.2	0.438677	1900-01-01 21:00:42	0.671617	0.791841	0.731729	3.802428
31	1.85	84.0	1.705	87.2	0.457147	1900-01-01 18:50:01	0.894374	0.770456	0.832415	3.983172
119	1.85	84.0	1.850	87.2	0.539399	1900-01-01 21:17:36	0.916980	0.863904	0.890442	3.060445

Is = np.linspace(0, 16, 50)
plt.plot(Is, scat_rate(Is, -6, Is=3.576), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12, Is=3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b127577490>

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -6, Is=3.576), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12, Is=3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b128d39450>

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -6), label=fr'$\delta = {-6}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b125766bd0>

scat_df[scat_df['pd2'] == 86.4].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
35	1.85	84.0	0.400	86.4	0.511844	1900-01-01 18:57:09	1.367766	1.359027	1.363396	5.204108
79	1.85	84.0	0.545	86.4	0.525969	1900-01-01 20:13:44	1.182420	1.171467	1.176944	4.254363
13	1.85	84.0	0.690	86.4	0.559041	1900-01-01 18:18:33	1.061138	1.081053	1.071096	3.427210
57	1.85	84.0	0.835	86.4	0.586697	1900-01-01 19:36:19	0.985139	0.991166	0.988153	2.870754
46	1.85	84.0	0.980	86.4	0.614100	1900-01-01 19:16:53	0.943083	0.918116	0.930599	2.467659
2	1.85	84.0	1.125	86.4	0.607973	1900-01-01 17:59:38	0.913230	0.914242	0.913736	2.472021
90	1.85	84.0	1.270	86.4	0.624881	1900-01-01 20:30:22	0.882347	0.856888	0.869617	2.227069
68	1.85	84.0	1.415	86.4	0.554044	1900-01-01 19:56:07	0.373924	0.881605	0.627764	2.045072
101	1.85	84.0	1.560	86.4	0.631545	1900-01-01 20:49:00	0.860806	0.840612	0.850709	2.132907
24	1.85	84.0	1.705	86.4	0.640179	1900-01-01 18:37:28	0.889485	0.854718	0.872102	2.127965
112	1.85	84.0	1.850	86.4	0.637039	1900-01-01 21:06:37	0.865055	0.877758	0.871406	2.147282

scat_df[scat_df['pd2'] == 85.6].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
36	1.85	84.0	0.400	85.6	0.539871	1900-01-01 18:58:58	1.752941	1.686216	1.719579	5.899866
80	1.85	84.0	0.545	85.6	0.624180	1900-01-01 20:15:12	1.398177	1.370896	1.384537	3.553737
14	1.85	84.0	0.690	85.6	0.685161	1900-01-01 18:20:18	1.251750	1.253575	1.252663	2.668386
58	1.85	84.0	0.835	85.6	0.692262	1900-01-01 19:38:05	1.128834	1.088018	1.108426	2.312950
47	1.85	84.0	0.980	85.6	0.734132	1900-01-01 19:18:39	1.042219	1.026641	1.034430	1.919346
3	1.85	84.0	1.125	85.6	0.728236	1900-01-01 18:01:06	0.981404	0.958251	0.969827	1.828735
91	1.85	84.0	1.270	85.6	0.834622	1900-01-01 20:32:12	0.939187	0.925800	0.932494	1.338648
69	1.85	84.0	1.415	85.6	0.805686	1900-01-01 19:57:56	0.911669	0.904064	0.907867	1.398590
102	1.85	84.0	1.560	85.6	0.656743	1900-01-01 20:50:43	0.902292	0.359060	0.630676	1.462230
25	1.85	84.0	1.705	85.6	0.778898	1900-01-01 18:39:14	0.932598	0.854709	0.893653	1.473016
113	1.85	84.0	1.850	85.6	0.809052	1900-01-01 21:08:04	0.913318	0.862315	0.887817	1.356345

scat_df[scat_df['pd2'] == 84.8].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
43	1.85	84.0	0.400	84.8	0.658808	1900-01-01 19:11:33	2.101544	1.934226	2.017885	4.649210
87	1.85	84.0	0.545	84.8	0.774275	1900-01-01 20:25:34	1.691370	1.630339	1.660855	2.770394
21	1.85	84.0	0.690	84.8	0.745315	1900-01-01 18:32:43	1.435244	1.435098	1.435171	2.583589
65	1.85	84.0	0.835	84.8	0.845951	1900-01-01 19:50:43	1.283336	1.256286	1.269811	1.774390
54	1.85	84.0	0.980	84.8	0.840807	1900-01-01 19:30:56	1.218582	1.155378	1.186980	1.679000
10	1.85	84.0	1.125	84.8	0.868733	1900-01-01 18:13:17	1.110531	1.112590	1.111561	1.472857
98	1.85	84.0	1.270	84.8	0.890098	1900-01-01 20:44:02	1.045075	1.050292	1.047684	1.322376
76	1.85	84.0	1.415	84.8	0.908164	1900-01-01 20:09:22	1.004774	0.987227	0.996000	1.207623
109	1.85	84.0	1.560	84.8	0.944827	1900-01-01 21:02:12	0.980162	0.974027	0.977094	1.094540
32	1.85	84.0	1.705	84.8	0.899708	1900-01-01 18:51:46	0.941765	0.928847	0.935306	1.155449
120	1.85	84.0	1.850	84.8	0.854043	1900-01-01 21:19:03	0.934381	0.929620	0.932000	1.277782

scat_df[scat_df['pd2'] == 84.0].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
38	1.85	84.0	0.400	84.0	0.702123	1900-01-01 19:02:37	2.477427	2.327093	2.402260	4.872973
82	1.85	84.0	0.545	84.0	0.771320	1900-01-01 20:18:07	1.996017	1.892431	1.944224	3.267966
16	1.85	84.0	0.690	84.0	0.816019	1900-01-01 18:23:50	1.748755	1.755527	1.752141	2.631288
60	1.85	84.0	0.835	84.0	0.844290	1900-01-01 19:41:43	1.543287	1.515176	1.529232	2.145310
49	1.85	84.0	0.980	84.0	0.905646	1900-01-01 19:22:11	1.364308	1.310180	1.337244	1.630399
5	1.85	84.0	1.125	84.0	0.939389	1900-01-01 18:04:24	1.294236	1.238496	1.266366	1.435053
93	1.85	84.0	1.270	84.0	0.957234	1900-01-01 20:35:41	1.221736	1.171878	1.196807	1.306135
71	1.85	84.0	1.415	84.0	1.006276	1900-01-01 20:01:27	1.131507	1.076286	1.103897	1.090169
104	1.85	84.0	1.560	84.0	0.969718	1900-01-01 20:54:03	1.081414	1.022307	1.051861	1.118580
27	1.85	84.0	1.705	84.0	0.995999	1900-01-01 18:42:50	1.034659	1.020822	1.027741	1.036015
115	1.85	84.0	1.850	84.0	0.967908	1900-01-01 21:11:36	1.019432	1.003478	1.011455	1.079639

scat_df[scat_df['pd2'] == 83.2].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
40	1.85	84.0	0.400	83.2	0.785396	1900-01-01 19:06:09	2.935946	2.696489	2.816218	4.565502
84	1.85	84.0	0.545	83.2	0.768479	1900-01-01 20:21:02	2.238408	2.160022	2.199215	3.723949
18	1.85	84.0	0.690	83.2	0.895618	1900-01-01 18:27:30	1.941086	1.954661	1.947873	2.428369
62	1.85	84.0	0.835	83.2	0.885332	1900-01-01 19:45:18	1.747427	1.730530	1.738979	2.218617
51	1.85	84.0	0.980	83.2	0.933890	1900-01-01 19:25:42	1.571625	1.489480	1.530553	1.754918
7	1.85	84.0	1.125	83.2	1.066557	1900-01-01 18:07:59	1.400588	1.371377	1.385982	1.218399
95	1.85	84.0	1.270	83.2	1.079691	1900-01-01 20:39:08	1.291910	1.254071	1.272991	1.092009
73	1.85	84.0	1.415	83.2	1.086728	1900-01-01 20:05:01	1.225772	1.195323	1.210547	1.025038
106	1.85	84.0	1.560	83.2	1.081401	1900-01-01 20:57:31	1.191620	1.148623	1.170121	1.000593
29	1.85	84.0	1.705	83.2	1.081760	1900-01-01 18:46:25	1.115233	1.099144	1.107188	0.946149
117	1.85	84.0	1.850	83.2	1.039424	1900-01-01 21:14:41	1.094836	1.065198	1.080017	0.999644

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -13.6), label=fr'$\delta = {-13.6}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b12588c250>

scat_df[scat_df['pd2'] == 82.4].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
33	1.85	84.0	0.400	82.4	0.675392	1900-01-01 18:53:31	3.367520	3.034449	3.200984	7.017337
77	1.85	84.0	0.545	82.4	0.693091	1900-01-01 20:10:49	2.585176	2.419364	2.502270	5.208986
11	1.85	84.0	0.690	82.4	0.992036	1900-01-01 18:15:02	2.319206	2.136323	2.227764	2.263677
55	1.85	84.0	0.835	82.4	0.943165	1900-01-01 19:32:43	1.983927	1.833870	1.908898	2.145892
44	1.85	84.0	0.980	82.4	0.977818	1900-01-01 19:13:21	1.810422	1.786704	1.798563	1.881091
0	1.85	84.0	1.125	82.4	1.060105	1900-01-01 17:56:41	1.651707	1.621480	1.636594	1.456274
88	1.85	84.0	1.270	82.4	1.063839	1900-01-01 20:27:05	1.539812	1.470934	1.505373	1.330123
66	1.85	84.0	1.415	82.4	1.141788	1900-01-01 19:52:32	1.391204	1.401317	1.396261	1.071015
99	1.85	84.0	1.560	82.4	1.087417	1900-01-01 20:45:40	1.332712	1.295215	1.313963	1.111198
22	1.85	84.0	1.705	82.4	1.109187	1900-01-01 18:34:17	1.283968	1.233511	1.258739	1.023120
110	1.85	84.0	1.850	82.4	1.014503	1900-01-01 21:03:41	1.229280	1.162525	1.195902	1.161955

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -15.2), label=fr'$\delta = {-15.2}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b1285abf90>

scat_df[scat_df['pd2'] == 81.6].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
39	1.85	84.0	0.400	81.6	0.636457	1900-01-01 19:04:25	4.012403	3.708037	3.860220	9.529576
83	1.85	84.0	0.545	81.6	0.815092	1900-01-01 20:19:35	2.968036	2.746715	2.857376	4.300845
17	1.85	84.0	0.690	81.6	0.467613	1900-01-01 18:25:41	2.601037	2.552349	2.576693	11.783930
61	1.85	84.0	0.835	81.6	1.052341	1900-01-01 19:43:34	2.295847	2.162626	2.229236	2.012995
50	1.85	84.0	0.980	81.6	1.049111	1900-01-01 19:23:58	2.136278	1.904376	2.020327	1.835601
6	1.85	84.0	1.125	81.6	0.777422	1900-01-01 18:06:11	1.871894	1.779275	1.825585	3.020563
94	1.85	84.0	1.270	81.6	1.248490	1900-01-01 20:37:26	1.706670	1.608603	1.657636	1.063454
72	1.85	84.0	1.415	81.6	0.878307	1900-01-01 20:03:16	1.576514	1.502483	1.539499	1.995660
105	1.85	84.0	1.560	81.6	0.949846	1900-01-01 20:55:47	1.476523	1.427885	1.452204	1.609611
28	1.85	84.0	1.705	81.6	1.217380	1900-01-01 18:44:38	1.418993	1.343861	1.381427	0.932129
116	1.85	84.0	1.850	81.6	0.661591	1900-01-01 21:13:13	1.344940	-0.131274	0.606833	1.386405

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -16.8), label=fr'$\delta = {-16.8}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b126f47490>

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -18.4), label=fr'$\delta = {-18.4}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b126e59bd0>

scat_df[scat_df['pd2'] == 80.8].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
34	1.85	84.0	0.400	80.8	0.690276	1900-01-01 18:55:20	4.662485	4.455622	4.559054	9.568189
78	1.85	84.0	0.545	80.8	0.921376	1900-01-01 20:12:17	3.428010	3.151522	3.289766	3.875176
12	1.85	84.0	0.690	80.8	NaN	1900-01-01 18:16:49	2.957568	2.682171	2.819870	-18.151483
56	1.85	84.0	0.835	80.8	0.836623	1900-01-01 19:34:31	2.566181	2.419181	2.492681	3.561288
45	1.85	84.0	0.980	80.8	1.094885	1900-01-01 19:15:07	2.287358	2.320767	2.304062	1.922016
1	1.85	84.0	1.125	80.8	0.834277	1900-01-01 17:58:10	2.085987	2.014917	2.050452	2.945972
89	1.85	84.0	1.270	80.8	0.686975	1900-01-01 20:28:39	1.898959	1.822330	1.860645	3.942587
67	1.85	84.0	1.415	80.8	0.979225	1900-01-01 19:54:20	1.767689	1.668228	1.717958	1.791626
100	1.85	84.0	1.560	80.8	0.758703	1900-01-01 20:47:19	1.675351	1.603392	1.639372	2.847956
23	1.85	84.0	1.705	80.8	0.794021	1900-01-01 18:35:45	1.573369	1.256980	1.415174	2.244638
111	1.85	84.0	1.850	80.8	0.701278	1900-01-01 21:05:09	1.532028	0.903196	1.217612	2.475871

scat_df[scat_df['pd2'] == 80.0].sort_values('pa2')

	pa1	pd1	pa2	pd2	depth_ratio	timestamp	scat_ratio1	scat_ratio2	scat_ratio_avg	Rratio
37	1.85	84.0	0.400	80.0	0.331972	1900-01-01 19:00:50	5.306803	3.835458	4.571131	41.478163
81	1.85	84.0	0.545	80.0	0.717299	1900-01-01 20:16:39	4.047118	3.348059	3.697588	7.186516
15	1.85	84.0	0.690	80.0	0.800722	1900-01-01 18:22:04	3.387196	3.061712	3.224454	5.029131
59	1.85	84.0	0.835	80.0	0.777615	1900-01-01 19:39:54	2.952769	2.673321	2.813045	4.652088
48	1.85	84.0	0.980	80.0	0.777911	1900-01-01 19:20:25	2.570514	2.109400	2.339957	3.866766
4	1.85	84.0	1.125	80.0	0.566797	1900-01-01 18:02:39	2.408469	2.327947	2.368208	7.371643
92	1.85	84.0	1.270	80.0	0.734950	1900-01-01 20:33:57	2.196384	2.158795	2.177589	4.031438
70	1.85	84.0	1.415	80.0	0.776538	1900-01-01 19:59:43	2.037439	1.911285	1.974362	3.274170
103	1.85	84.0	1.560	80.0	0.638328	1900-01-01 20:52:23	1.905388	1.832009	1.868699	4.586181
26	1.85	84.0	1.705	80.0	0.711072	1900-01-01 18:41:02	1.808846	1.669553	1.739200	3.439718
114	1.85	84.0	1.850	80.0	0.370453	1900-01-01 21:09:50	1.760017	0.904101	1.332059	9.706361

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -20.0), label=fr'$\delta = {-20.0}$ MHz')
plt.plot(Is, scat_rate(Is, -12), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b12608c250>

Is = np.linspace(0, 20, 50)
plt.plot(Is, scat_rate(Is, -20.0, 3.576), label=fr'$\delta = {-20.0}$ MHz')
plt.plot(Is, scat_rate(Is, -12, 3.576), label=fr'$\delta = {-12}$ MHz')
plt.legend()

<matplotlib.legend.Legend at 0x1b126b9c250>

import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import griddata

import lmfit
from lmfit.lineshapes import gaussian2d, lorentzian

npoints = 10000
np.random.seed(2021)
x = np.random.rand(npoints)*10 - 4
y = np.random.rand(npoints)*5 - 3
z = gaussian2d(x, y, amplitude=30, centerx=2, centery=-.5, sigmax=.6, sigmay=.8)
z += 2*(np.random.rand(*z.shape)-.5)
error = np.sqrt(z+1)